{"version":"1.0.0","count":156,"families":[{"id":"identity-development","name":"Identity & Development","description":"What an agent inherits, how it is shaped, and how a project continues between missions."},{"id":"cognition-control","name":"Cognition & Control","description":"Candidate workspaces, prediction, attention, and bounded control loops."},{"id":"knowledge-evidence","name":"Knowledge & Evidence","description":"Claims, sources, uncertainty, contradiction, and calibrated judgment."},{"id":"memory-learning","name":"Memory & Learning","description":"How episodes, knowledge, procedures, and learned changes are retained and retrieved."},{"id":"collective-intelligence","name":"Collective Intelligence","description":"The runtime components and communication patterns that let agents coordinate."},{"id":"orchestration","name":"Orchestration","description":"The eight GenOS topologies and the structures they use to organize work."},{"id":"evolution-ecology","name":"Evolution & Ecology","description":"Variation, selection, transfer, populations, niches, and recovery across agent groups."},{"id":"physiology-perception","name":"Physiology & Perception","description":"Resource regulation, sensing, foraging, and other bounded runtime processes."},{"id":"immunity-medicine","name":"Immunity & Medicine","description":"Threat response, pathology models, and the limits of computational health metaphors."},{"id":"formal-verification","name":"Formal Verification","description":"Deterministic procedures, proof artifacts, solvers, and verification boundaries."},{"id":"runtime-infrastructure","name":"Runtime & Infrastructure","description":"State, execution boundaries, integrations, authority, and observability."}],"concepts":[{"id":"maladies","title":"Failure modes","titleFr":"Maladies logicielles","definition":"GenOS models potential failures in an agent system: excessive alerts, cross-workspace contamination, unintended intervention effects, or degraded performance.","definitionFr":"Cette nosologie est une taxonomie de défaillances logicielles inspirée du raisonnement clinique. Les catégories exigent des signaux observables et ne diagnostiquent personne.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Computational pathology is a taxonomy of software failure patterns inspired by clinical language. It is not a medical nosology: categories need operational definitions and measurable signals, and must never be used to diagnose people.","scienceFr":"Cette nosologie est une taxonomie de défaillances logicielles inspirée du raisonnement clinique. Les catégories exigent des signaux observables et ne diagnostiquent personne.","mathematicalModel":"A bounded triage policy maps observed signals x to a response class c under explicit thresholds: c=policy(x, scope, confidence). Classification should preserve uncertainty and require verification after an intervention.","mathematicalModelFr":"La politique de triage c=politique(x,portée,confiance) associe les signaux x à une réponse bornée ; le résultat doit être revérifié.","biologicalInspiration":"Clinical practice observes symptoms, separates possible causes and checks treatment effects. GenOS borrows that observe–classify–reassess discipline for software faults; it makes no medical claim.","biologicalInspirationFr":"La clinique observe des signes, distingue des causes possibles et réévalue une intervention. GenOS reprend cette discipline pour les défaillances logicielles, sans prétention médicale.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/clinicalStateService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/clinicalStateService.js"},{"path":"backend/tests/test_clinical_state_persistence.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_clinical_state_persistence.js"},{"path":"crates/genos-cell/src/clinical.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-cell/src/clinical.rs"}],"related":["nosology","immune-system","evidence"],"source":"01-concepts/nosologie/pathologie-et-medecine.md","routes":{"en":"/en/concepts/maladies","fr":"/fr/concepts/maladies"}},{"id":"memoire","title":"Memory","titleFr":"Mémoire","definition":"GenOS memory helps retrieve useful experiences, connect decisions, and avoid known dead ends. It combines detailed episodes with indexed facts and provenance signals.","definitionFr":"La mémoire GenOS combine épisodes, index, classement et maintenance. Les mots de neurosciences expriment une inspiration et ne prouvent aucune équivalence avec le cerveau.","family":"memory-learning","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The GenOS memory subsystem combines records, indexes, ranking, and maintenance. Neuroscience terms describe design inspiration only; storage and retrieval quality must be evaluated on task-specific data with provenance intact.","scienceFr":"La mémoire GenOS combine épisodes, index, classement et maintenance. Les mots de neurosciences expriment une inspiration et ne prouvent aucune équivalence avec le cerveau.","mathematicalModel":"A memory item m=(content, scope, provenance, timestamp, outcome). Retrieval returns rank_k({m∈M: scope(m)=scope_q}, S(m,q)); consolidation and pruning are separate policies.","mathematicalModelFr":"Élément m=(contenu,portée,provenance,temps,résultat). Retrouver les k meilleurs éléments admissibles selon score S(m,q).","biologicalInspiration":"Biological systems retain and retrieve traces of experience. GenOS borrows the separation between episodes and generalized knowledge, while using ordinary records and indexes.","biologicalInspirationFr":"Les systèmes biologiques conservent et rappellent des traces d'expérience. GenOS reprend la distinction épisode/savoir général au moyen d'enregistrements et d'index.","literatureMechanisms":["episodic-memory"],"useCases":[],"failureModes":[],"codeSources":[],"related":["episodic-memory","semantic-memory","vector-memory","synaptic-plasticity"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/memoire","fr":"/fr/concepts/memoire"}},{"id":"cortex","title":"Cortex","titleFr":"Cortex","definition":"In GenOS, “cortex” describes some retrieval and association functions. It does not mean a unified artificial brain: these mechanisms are distributed across indexes, memories, agents, and controllers.","definitionFr":"Le cortex n'est ici qu'une métaphore d'architecture pour des fonctions réparties de recherche et d'association, sans cerveau artificiel unifié.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Cortex is a software architecture metaphor for distributed retrieval and association functions. It does not imply a unified artificial brain, cortical organization, perception, or subjective experience.","scienceFr":"Le cortex n'est ici qu'une métaphore d'architecture pour des fonctions réparties de recherche et d'association, sans cerveau artificiel unifié.","mathematicalModel":"The site uses a retrieval pipeline: request → indexed candidates → rank → context assembly → output checks. This is a sequence of software transformations; no neural field equation is implied.","mathematicalModelFr":"Chaîne logicielle : requête → candidats indexés → classement → contexte → contrôle. Aucune équation de champ neural n'est impliquée.","biologicalInspiration":"The cortex supports distributed association in brains. GenOS uses only an architectural comparison for distributed retrieval; it has no cortical tissue or perception.","biologicalInspirationFr":"Le cortex participe aux associations réparties dans le cerveau. GenOS n'en reprend qu'une comparaison architecturale pour la recherche distribuée.","literatureMechanisms":["neuron-model","memory-retrieval"],"useCases":[],"failureModes":[],"codeSources":[],"related":["agow","semantic-memory","theory-of-self"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/cortex","fr":"/fr/concepts/cortex"}},{"id":"ontogenese","title":"Ontogenesis","titleFr":"Ontogenèse","definition":"Ontogenesis is the resident controller that follows a project between missions: it selects a task, starts a bounded run, examines evidence, and coordinates integration or resumption.","definitionFr":"L'ontogenèse biologique inspire l'idée de continuité et de changement. Le contrôleur de projet est un workflow persistant, non un organisme vivant.","family":"identity-development","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The concept borrows from organismal development to describe continuity across software missions. A project controller is a stateful workflow, not a living or self-developing organism.","scienceFr":"L'ontogenèse biologique inspire l'idée de continuité et de changement. Le contrôleur de projet est un workflow persistant, non un organisme vivant.","mathematicalModel":"Model the controller as a finite-state process over {plan, execute, verify, integrate, wait}; transition δ(state,event) is allowed only when the relevant permission, evidence, and budget guards pass.","mathematicalModelFr":"Automate sur {planifier,exécuter,vérifier,intégrer,attendre} ; δ(état,événement) exige permissions, preuves et budget.","biologicalInspiration":"Ontogeny links successive developmental stages of one organism. GenOS borrows continuity across missions while implementing a governed project state machine.","biologicalInspirationFr":"L'ontogenèse relie les étapes de développement d'un organisme. GenOS retient la continuité entre missions avec un automate de projet gouverné.","literatureMechanisms":["distributed-snapshot"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/ontogenesis/missionCapabilityPlanService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/ontogenesis/missionCapabilityPlanService.js"},{"path":"backend/src/services/ontogenesis/integrationController.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/ontogenesis/integrationController.js"},{"path":"backend/tests/test_philosophy_ontogenesis_integration.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_philosophy_ontogenesis_integration.js"},{"path":"backend/tests/test_mission_continuity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_mission_continuity.js"}],"related":["workflows","resident-daemons","counterfactual-workspaces"],"source":"01-concepts/ontogenese.md","routes":{"en":"/en/concepts/ontogenese","fr":"/fr/concepts/ontogenese"}},{"id":"ontologie","title":"Ontology","titleFr":"Ontologie","definition":"The operational ontology provides structures for describing entities, identity criteria, relationships, and hypothetical scenarios. It supports analysis without deciding on its own what should be executed.","definitionFr":"L'ontologie formelle décrit catégories et relations. Les mondes possibles GenOS sont des structures de données, sans preuve d'existence externe.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Formal ontology studies explicit categories and relations. In this runtime, entity descriptions and possible worlds are bounded data structures; their presence does not establish that a described entity exists in the external world.","scienceFr":"L'ontologie formelle décrit catégories et relations. Les mondes possibles GenOS sont des structures de données, sans preuve d'existence externe.","mathematicalModel":"Represent a world as W=(E,R,P), with entities E, typed relations R, and propositions P. Comparisons are conditional on declared identity criteria and assumptions.","mathematicalModelFr":"Monde W=(E,R,P) avec entités E, relations typées R et propositions P ; comparaison sous critères d'identité déclarés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[],"related":["knowledge","beliefs","evidence"],"source":"03-reference/ontologie-operationnelle.md","routes":{"en":"/en/concepts/ontologie","fr":"/fr/concepts/ontologie"}},{"id":"genome","title":"Genome","titleFr":"Génome","definition":"A versioned software model of inherited traits and constraints; it is not biological DNA and does not by itself instantiate a running agent.","definitionFr":"Le génome biologique est une séquence d'ADN ; le génome GenOS est une spécification logicielle versionnée de traits et contraintes.","family":"identity-development","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A biological genome is an organism's DNA sequence; the GenOS genome is a versioned software specification. The shared term signals inheritance and constraints, not molecular encoding or biological equivalence. Rust operations transform genome data models; such a transformation does not by itself start an agent process.","scienceFr":"Le génome biologique est une séquence d'ADN ; le génome GenOS est une spécification logicielle versionnée de traits et contraintes.","mathematicalModel":"A software genome is a typed configuration G=(traits, constraints, version, provenance). Phenotype generation is an implementation mapping P=f(G, context), whose determinism and allowed overrides should be documented.","mathematicalModelFr":"Configuration G=(traits,contraintes,version,provenance). Profil effectif P=f(G,contexte) sous priorités explicites.","biologicalInspiration":"DNA carries inherited biological information. GenOS borrows inheritance and variation vocabulary for versioned configuration, not molecular encoding.","biologicalInspirationFr":"L'ADN porte une information biologique héritée. GenOS retient héritage et variation pour une configuration versionnée, sans codage moléculaire.","literatureMechanisms":["genetic-structure"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/genome.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/genome.rs"},{"path":"crates/genos-genome/src/genome_tests.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/genome_tests.rs"}],"related":["epigenetics","agent-dna","phenotype"],"source":"01-concepts/genome-et-epigenetique.md","routes":{"en":"/en/concepts/genome","fr":"/fr/concepts/genome"}},{"id":"epigenetics","title":"Epigenetics","titleFr":"Épigénétique","definition":"A software policy for expressing modeled traits in context; it is an analogy, not biochemical marking or biological inheritance.","definitionFr":"L'épigénétique régule l'expression cellulaire sans modifier la séquence ADN. GenOS emploie une règle contextuelle de configuration, sans marques biochimiques.","family":"identity-development","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Epigenetics studies regulation of gene expression and cellular state without changing the underlying DNA sequence. GenOS contextual trait regulation is a design analogy; it does not model biochemical marks or biological inheritance across cell division. Reproduction-time reprogramming is a software model operation, not cellular development.","scienceFr":"L'épigénétique régule l'expression cellulaire sans modifier la séquence ADN. GenOS emploie une règle contextuelle de configuration, sans marques biochimiques.","mathematicalModel":"An expression policy can be written θ_eff=g(θ_inherited, context, policy), with explicit permitted ranges. This formalizes configuration, not epigenetic biology.","mathematicalModelFr":"Expression θ_eff=g(θ_hérité,contexte,politique) dans des bornes permises ; c'est une règle logicielle.","biologicalInspiration":"Cellular epigenetic regulation changes expression without changing the DNA sequence. GenOS mirrors only contextual expression of declared traits.","biologicalInspirationFr":"La régulation épigénétique modifie l'expression sans changer la séquence ADN. GenOS ne reprend que l'expression contextuelle de traits déclarés.","literatureMechanisms":["epigenetics"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/epigenome.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/epigenome.rs"},{"path":"backend/src/services/agentDna/epigenome.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agentDna/epigenome.js"}],"related":["genome","phenotype"],"source":"01-concepts/genome-et-epigenetique.md","routes":{"en":"/en/concepts/epigenetics","fr":"/fr/concepts/epigenetics"}},{"id":"agent-dna","title":"AgentDNA","titleFr":"AgentDNA","definition":"A versioned binary data format for agent identity and runtime traits; editing it does not by itself start or clone a process.","definitionFr":"AgentDNA est un format de sérialisation et d'identité. Le nom ADN n'implique ni molécule ni démarrage automatique d'un agent.","family":"identity-development","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"AgentDNA is a software serialization and identity format. DNA is a naming analogy; the representation has no molecular substrate, genetic code, or biological inheritance. Editing an AgentDNA artifact does not itself launch, clone, or reconfigure a running worker.","scienceFr":"AgentDNA est un format de sérialisation et d'identité. Le nom ADN n'implique ni molécule ni démarrage automatique d'un agent.","mathematicalModel":"A valid artifact must satisfy schema S and version v: validate(x,S_v)=true. Migration M_v→v+1 should preserve declared invariants and report fields that cannot be mapped.","mathematicalModelFr":"Artefact x valide si validate(x,S_v)=vrai. Migration M_v→v+1 conserve les invariants déclarés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["genetic-structure"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-dna/src/lib.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-dna/src/lib.rs"},{"path":"crates/genos-dna/src/tests.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-dna/src/tests.rs"}],"related":["genome","phenotype"],"source":"01-concepts/agent-dna-runtime.md","routes":{"en":"/en/concepts/agent-dna","fr":"/fr/concepts/agent-dna"}},{"id":"phenotype","title":"Phenotype","titleFr":"Phénotype","definition":"The observable runtime profile produced by identity, constraints, and environment.","definitionFr":"En biologie, le phénotype résulte du génotype et de l'environnement. En logiciel, il désigne le profil runtime observable.","family":"identity-development","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"In biology, phenotype refers to observable traits shaped by genotype and environment. The software entry uses it for an effective runtime profile and does not claim organismal development.","scienceFr":"En biologie, le phénotype résulte du génotype et de l'environnement. En logiciel, il désigne le profil runtime observable.","mathematicalModel":"Effective profile P=f(G,C,E), where G is inherited configuration, C is permitted contextual regulation, and E is execution environment. The function and override precedence must be explicit.","mathematicalModelFr":"Profil P=f(G,C,E) pour configuration héritée G, réglage contextuel C et environnement E ; priorité des règles explicite.","biologicalInspiration":"A biological phenotype reflects genotype and environment. The runtime phenotype similarly reports an effective profile from inherited configuration and context.","biologicalInspirationFr":"Le phénotype biologique dépend du génotype et de l'environnement. Le profil runtime résulte pareillement d'une configuration héritée et du contexte.","literatureMechanisms":["genetic-structure"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/phenotype.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/phenotype.rs"},{"path":"crates/genos-worker/src/phenotype.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-worker/src/phenotype.rs"}],"related":["genome","epigenetics","instinct"],"source":"01-concepts/biologie-computationnelle.md","routes":{"en":"/en/concepts/phenotype","fr":"/fr/concepts/phenotype"}},{"id":"instinct","title":"Instinct","titleFr":"Instinct","definition":"Bounded innate response patterns that can be selected or modulated by runtime context.","definitionFr":"L'instinct biologique est une notion complexe. Une règle dite instinctive dans GenOS est une politique écrite, sans cognition innée.","family":"identity-development","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Instinct is a contested biological term for behavior with innate components. A runtime rule called an instinct is an authored policy and must not be treated as evidence of innate cognition.","scienceFr":"L'instinct biologique est une notion complexe. Une règle dite instinctive dans GenOS est une politique écrite, sans cognition innée.","mathematicalModel":"A rule maps an admissible trigger x to candidate action a only if guard g(x)=true; policy, authority, and budget filters still decide whether a may execute.","mathematicalModelFr":"Déclencheur x propose a si garde g(x)=vrai ; autorité et budget déterminent encore l'exécution.","biologicalInspiration":"Innate behavioral tendencies motivate predeclared response rules. In GenOS these rules are authored policies, not inherited animal cognition.","biologicalInspirationFr":"Des tendances comportementales innées inspirent des réponses préétablies. Dans GenOS, ce sont des politiques écrites, non une cognition animale héritée.","literatureMechanisms":["embodied-control"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-biology/src/instinct/mod.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/src/instinct/mod.rs"},{"path":"crates/genos-orchestrator/tests/instinct.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-orchestrator/tests/instinct.rs"},{"path":"backend/src/services/agents/instinctRuntimeService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agents/instinctRuntimeService.js"}],"related":["phenotype","homeostasis"],"source":"01-concepts/instinct.md","routes":{"en":"/en/concepts/instinct","fr":"/fr/concepts/instinct"}},{"id":"reproduction","title":"Reproduction","titleFr":"Reproduction","definition":"Rust reproduction operations transform genome and cell models under inheritance rules; worker startup is separate, while MCP biomimicry handlers record simulations.","definitionFr":"La reproduction biologique associe héritage, variation et développement. GenOS transforme des modèles de données ; créer un worker reste une opération distincte.","family":"identity-development","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological reproduction includes mechanisms of heredity, variation, and development. GenOS Rust reproduction routines transform genome and cell data models under version, lineage, and inheritance rules; starting a backend worker is a separate step. Node biomimicry handlers record simulation metadata and do not create runtime offspring. Software replication does not reproduce organisms.","scienceFr":"La reproduction biologique associe héritage, variation et développement. GenOS transforme des modèles de données ; créer un worker reste une opération distincte.","mathematicalModel":"A child artifact c=derive(parent, change, policy) is admissible only if schema-valid, provenance-linked, and authorized. Lineage records should make parent and transformation recoverable.","mathematicalModelFr":"Artefact enfant c=derive(parent,changement,politique), admissible après contrôle du schéma, de la provenance et de l'autorité.","biologicalInspiration":"Biological reproduction transmits traits with variation. GenOS transforms parent data into a child artifact; launching a new worker remains a separate authorized act.","biologicalInspirationFr":"La reproduction biologique transmet des traits avec variation. GenOS transforme des données parentes en artefact enfant ; lancer un worker reste distinct.","literatureMechanisms":["genetic-structure"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/reproduction.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/reproduction.rs"},{"path":"crates/genos-genome/src/genome_tests.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/genome_tests.rs"}],"related":["genome","plasmids","phenotype"],"source":"02-orchestration/reproduction-et-replication.md","routes":{"en":"/en/concepts/reproduction","fr":"/fr/concepts/reproduction"}},{"id":"speciation-graft","title":"Speciation & grafting","titleFr":"Spéciation et greffe","definition":"A documented path for proposing a new capability or agent lineage and evaluating it before promotion.","definitionFr":"Spéciation et greffe sont des analogies évolutives et horticoles pour proposer de nouvelles lignées ou capacités logicielles.","family":"identity-development","implementation":"proposed","integration":"isolated","evidence":"none","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Speciation and grafting are evolutionary and horticultural analogies for proposing new software lineages or capabilities. They do not imply reproductive isolation or biological compatibility.","scienceFr":"Spéciation et greffe sont des analogies évolutives et horticoles pour proposer de nouvelles lignées ou capacités logicielles.","mathematicalModel":"A graft candidate must pass compatibility K(c,h) and evidence threshold E(c) before promotion; failed candidates remain separate from the host lineage.","mathematicalModelFr":"Candidat accepté si compatibilité K(c,h) et seuil de preuve E(c) sont satisfaits avant promotion.","biologicalInspiration":"Speciation separates lineages and grafting joins compatible tissues. GenOS borrows lineage separation and compatibility checks for proposed capabilities.","biologicalInspirationFr":"La spéciation sépare des lignées et la greffe exige une compatibilité. GenOS reprend séparation et contrôle de compatibilité pour des capacités proposées.","literatureMechanisms":["selection"],"useCases":[],"failureModes":[],"codeSources":[],"related":["genome","evolution-selection","evidence"],"source":"01-concepts/speciation-graft-autonome.md","routes":{"en":"/en/concepts/speciation-graft","fr":"/fr/concepts/speciation-graft"}},{"id":"agow","title":"AGOW","titleFr":"AGOW","definition":"An active workspace where candidate frames compete and selected content can be broadcast under policy.","definitionFr":"AGOW est un espace de travail logiciel où des représentations candidates sont sélectionnées sous politique. Les seuils neuronaux offrent un précédent abstrait, sans équivalence cognitive.","family":"cognition-control","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":true,"science":"AGOW is a software workspace in which candidate representations may be evaluated and selected under explicit policy. Neuronal threshold models provide historical context for formal abstractions, not evidence that AGOW reproduces brain-wide cognition.","scienceFr":"AGOW est un espace de travail logiciel où des représentations candidates sont sélectionnées sous politique. Les seuils neuronaux offrent un précédent abstrait, sans équivalence cognitive.","mathematicalModel":"For candidate c, selection can be expressed as argmax_c U(c) subject to admissibility constraints A(c)=true and resource budget B(c)≤B_max. The objective and gates are policy inputs, not universal laws.","mathematicalModelFr":"Choisir argmax_c U(c) parmi les candidats admissibles A(c)=vrai et sous budget B(c)≤B_max. Les fonctions sont des choix de politique.","biologicalInspiration":"Neural workspace theories study competition and broadcast among representations. AGOW borrows selection and broadcast as software design ideas, without a claim about consciousness.","biologicalInspirationFr":"Les théories d'espace de travail neuronal étudient concurrence et diffusion de représentations. AGOW en retient l'idée logicielle, sans prétention sur la conscience.","literatureMechanisms":["neuron-model"],"useCases":["Prioritize candidate observations within a bounded workspace.","Inspect which evidence is broadcast to later work and retain its source."],"failureModes":["A threshold can suppress low-salience but critical evidence.","Correlated salience signals can reinforce a shared blind spot.","Broadcast is not proof or a claim of consciousness."],"codeSources":[{"path":"backend/src/services/agow/agowRuntimeIngressService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agow/agowRuntimeIngressService.js"},{"path":"backend/src/services/agow/workspaceCycleService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agow/workspaceCycleService.js"},{"path":"backend/tests/test_global_workspace_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_global_workspace_runtime.js"}],"related":["gvx","attention","episodic-memory","evidence"],"source":"02-orchestration/agow.md","routes":{"en":"/en/concepts/agow","fr":"/fr/concepts/agow"}},{"id":"gvx","title":"GVX","titleFr":"GVX","definition":"A verified development loop that isolates changes, observes outcomes, and uses evidence to govern maturity.","definitionFr":"GVX suit une logique expérimentale de changements isolés, observations et promotion conditionnée aux preuves ; ce n'est pas une évolution biologique.","family":"cognition-control","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":true,"science":"GVX uses controlled experimentation and staged maturity: isolate a candidate, observe it, evaluate evidence, then decide whether to promote. This is a software assurance workflow, not an evolutionary or neurobiological process.","scienceFr":"GVX suit une logique expérimentale de changements isolés, observations et promotion conditionnée aux preuves ; ce n'est pas une évolution biologique.","mathematicalModel":"Promotion requires all declared predicates P_i(x)=true and budget use B≤B_max. Record the candidate, baseline, evaluator, and result so the comparison can be repeated.","mathematicalModelFr":"Promotion si tous les prédicats P_i(x)=vrai et B≤B_max. Conserver candidat, référence, évaluateur et résultat.","biologicalInspiration":"Variation and selection are evolutionary motifs, but GVX is chiefly an experimental software assurance loop. Its promotion rules need direct engineering evidence.","biologicalInspirationFr":"Variation et sélection sont des motifs évolutifs, mais GVX est surtout une boucle d'assurance logicielle expérimentale. Sa promotion exige des preuves directes.","literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/developmentalBridge/gvxToAgowReceiptAdapter.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/developmentalBridge/gvxToAgowReceiptAdapter.js"},{"path":"backend/tests/test_gvx_agentgit_adapter.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_gvx_agentgit_adapter.js"},{"path":"backend/tests/test_gvx_experiment_protocol.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_gvx_experiment_protocol.js"}],"related":["agow","counterfactual-workspaces","proof-artifact"],"source":"02-orchestration/adaptateurs-gvx-runtime.md","routes":{"en":"/en/concepts/gvx","fr":"/fr/concepts/gvx"}},{"id":"self-model","title":"Self-model","titleFr":"Auto-modèle","definition":"A bounded model of agent identity and continuity used for analysis, not a claim of subjective experience.","definitionFr":"L'auto-modèle contient des données sur identité, capacités et limites. Il permet l'inspection du système, sans preuve de conscience de soi.","family":"cognition-control","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A self-model here is structured data about agent identity, state, and capabilities. It supports system introspection but gives no evidence of subjective self-awareness.","scienceFr":"L'auto-modèle contient des données sur identité, capacités et limites. Il permet l'inspection du système, sans preuve de conscience de soi.","mathematicalModel":"A model state s=(identity, capabilities, current-goals, limits, provenance) is updated by an authorized transition function. Claims about continuity require stable identity rules.","mathematicalModelFr":"État s=(identité,capacités,objectifs,limites,provenance) actualisé par transition autorisée ; la continuité dépend des critères d'identité.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/selfTwin/selfTwinService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/selfTwin/selfTwinService.js"},{"path":"backend/tests/test_self_model_service.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_self_model_service.js"},{"path":"backend/tests/test_self_twin.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_self_twin.js"}],"related":["theory-of-self","genome","episodic-memory"],"source":"02-orchestration/theorie-du-soi-orchestrator.md","routes":{"en":"/en/concepts/self-model","fr":"/fr/concepts/self-model"}},{"id":"theory-of-self","title":"Theory of self","titleFr":"Théorie du soi","definition":"Runtime models that describe agent identity, continuity, and change without asserting subjective experience.","definitionFr":"La théorie du soi nomme une description fonctionnelle d'identité et de continuité, sans établir un soi humain ou une expérience subjective.","family":"cognition-control","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The term names explicit runtime descriptions of identity and continuity. It is a functional data model, not a theory establishing consciousness or a human-like self.","scienceFr":"La théorie du soi nomme une description fonctionnelle d'identité et de continuité, sans établir un soi humain ou une expérience subjective.","mathematicalModel":"Continuity can be defined as relation C(s_t,s_t+1) over versioned states, with criteria such as identity key, lineage, and preserved constraints. The criteria are normative choices.","mathematicalModelFr":"Continuité C(s_t,s_t+1) entre états versionnés selon clé d'identité, lignée et contraintes préservées.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/selfTwin/selfTwinService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/selfTwin/selfTwinService.js"},{"path":"backend/tests/test_self_twin.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_self_twin.js"}],"related":["genome","ontogenese","episodic-memory"],"source":"02-orchestration/theorie-du-soi-orchestrator.md","routes":{"en":"/en/concepts/theory-of-self","fr":"/fr/concepts/theory-of-self"}},{"id":"predictive-system","title":"Predictive system","titleFr":"Système prédictif","definition":"A multi-scale prediction model that relates observations, hypotheses, and expected outcomes.","definitionFr":"Prédire consiste à confronter une attente à une observation résolue. Les théories de traitement prédictif ne décrivent pas automatiquement le runtime.","family":"cognition-control","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Prediction compares expectations with later observations. Forecast scoring supplies a measurable evaluation method, but predictive-processing theories do not automatically describe this runtime implementation.","scienceFr":"Prédire consiste à confronter une attente à une observation résolue. Les théories de traitement prédictif ne décrivent pas automatiquement le runtime.","mathematicalModel":"For forecast p and binary outcome y, use Brier loss (p−y)²; for general probabilistic predictions, use a declared proper scoring rule and retain calibration data and resolved labels.","mathematicalModelFr":"Pour prévision p et issue binaire y, perte de Brier (p−y)² ; conserver étiquettes résolues et données de calibration.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["brier-calibration"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/predictiveHierarchyService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/predictiveHierarchyService.js"},{"path":"backend/src/services/predictiveTimescale/predictiveTimescaleService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/predictiveTimescale/predictiveTimescaleService.js"},{"path":"backend/tests/test_predictive_distribution.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_predictive_distribution.js"}],"related":["agow","evidence","natural-search-control-plane"],"source":"02-orchestration/systeme-predictif-multi-echelles.md","routes":{"en":"/en/concepts/predictive-system","fr":"/fr/concepts/predictive-system"}},{"id":"natural-search-control-plane","title":"Natural Search Control Plane","titleFr":"Plan de contrôle de la recherche naturelle","definition":"A control model for bounded search using pressure, causal progress, hypotheses, and explicit control.","definitionFr":"Ce plan de contrôle surveille recherche et hypothèses avec des décisions d'arrêt explicites. Les métaphores biologiques ne prouvent aucune adaptation efficace.","family":"cognition-control","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The control plane combines search monitoring, hypotheses, and explicit stop or continue decisions. This is a software control model; biological metaphors do not show it is adaptive or effective.","scienceFr":"Ce plan de contrôle surveille recherche et hypothèses avec des décisions d'arrêt explicites. Les métaphores biologiques ne prouvent aucune adaptation efficace.","mathematicalModel":"At step t, choose action a_t from eligible actions by a declared score J(a|state), subject to resource, permission, and stopping constraints. Log predictions before observing outcomes to avoid hindsight bias.","mathematicalModelFr":"À l'étape t, choisir a_t parmi actions admissibles par score J(a|état), sous contraintes de budget, permission et arrêt.","biologicalInspiration":"Adaptive foraging illustrates choice under limited resources. GenOS borrows bounded search and stopping decisions, not a biological optimizer.","biologicalInspirationFr":"La recherche de nourriture illustre un choix sous ressources limitées. GenOS reprend recherche et arrêt bornés, non un optimiseur biologique.","literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":["Reporting success before the checkpoint commits.","Restoring a partial projection instead of the committed state.","Treating a transmitted candidate or self-reported tool result as independently verified progress."],"codeSources":[{"path":"backend/src/services/search/naturalSearchRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/search/naturalSearchRuntime.js"},{"path":"backend/src/services/search/searchRuntimeCheckpoint.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/search/searchRuntimeCheckpoint.js"},{"path":"backend/tests/search/test_natural_search_durability.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/search/test_natural_search_durability.js"},{"path":"backend/tests/search/test_natural_search_crash.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/search/test_natural_search_crash.js"},{"path":"backend/tests/search/test_natural_search_integrity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/search/test_natural_search_integrity.js"}],"related":["gvx","evidence","mutation"],"source":"01-concepts/natural-search-control-plane.md","routes":{"en":"/en/concepts/natural-search-control-plane","fr":"/fr/concepts/natural-search-control-plane"}},{"id":"endogenous-thought-test","title":"Endogenous Thought Test","titleFr":"Test de pensée endogène","definition":"A bounded experimental protocol that detects an internal signal, formulates a falsifiable question, arbitrates whether to investigate it, produces a read-only proposal, and submits it to independent verification.","definitionFr":"ETT opérationnalise une question fonctionnelle étroite : une boucle peut-elle transformer un signal interne en question falsifiable, proposition bornée et verdict indépendant ? Ces états observables ne prouvent ni expérience subjective, ni intention, ni conscience.","family":"cognition-control","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":true,"science":"ETT operationalizes a narrow functional question about internally triggered inquiry. It separates signal detection, falsifiable question formation, attention allocation, bounded proposal generation and independent classification. Observable software states can test that chain; they do not establish subjective experience, intention or consciousness.","scienceFr":"ETT opérationnalise une question fonctionnelle étroite : une boucle peut-elle transformer un signal interne en question falsifiable, proposition bornée et verdict indépendant ? Ces états observables ne prouvent ni expérience subjective, ni intention, ni conscience.","mathematicalModel":"The detector uses s=clamp(0,1,0.25a+0.20n+0.30g+0.20l−0.025c−0.025r), then applies separate integrity, mandate, tenant, freshness, budget, cooldown and concurrency gates. The preregistered primary metric is independently verified useful discoveries divided by normalized token, time and USD cost.","mathematicalModelFr":"Le détecteur calcule s=clamp(0,1,0,25a+0,20n+0,30g+0,20l−0,025c−0,025r), puis applique séparément intégrité, mandat, portée, fraîcheur, budget et capacité. La métrique préenregistrée rapporte les découvertes utiles vérifiées au coût normalisé.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Generate falsifiable questions from scoped internal anomalies.","Compare the endogenous loop with a planned control and registered ablations.","Audit authority, budget, persistence and independent-verification boundaries across restarts.","Represent abstention, refutation and inconclusive outcomes without implicit promotion."],"failureModes":["A plausible proposal can be mistaken for verified evidence.","An independently classified result can be misreported as support when the verdict is refuted or inconclusive.","Development seeds can leak into threshold tuning and invalidate the reserved comparison.","A functional indicator can be overgeneralized into a claim about consciousness or autonomy."],"codeSources":[{"path":"backend/src/services/endogenousThoughtDetectionService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/endogenousThoughtDetectionService.js"},{"path":"backend/src/services/endogenousThoughtAdmissionService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/endogenousThoughtAdmissionService.js"},{"path":"backend/src/services/endogenousThoughtQueueService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/endogenousThoughtQueueService.js"},{"path":"backend/src/services/endogenousThoughtRunnerService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/endogenousThoughtRunnerService.js"},{"path":"backend/tests/test_endogenous_thought_contract.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_endogenous_thought_contract.js"},{"path":"backend/tests/test_endogenous_thought_runner.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_endogenous_thought_runner.js"},{"path":"benchmarks/endogenous-thought/protocol-v1.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/benchmarks/endogenous-thought/protocol-v1.json"}],"related":["agow","ontogenese","evidence","functional-indicators"],"source":"01-concepts/endogenous-thought-test.md","routes":{"en":"/en/concepts/endogenous-thought-test","fr":"/fr/concepts/endogenous-thought-test"}},{"id":"attention","title":"Attention & salience","titleFr":"Attention et saillance","definition":"Selection and prioritization signals used to direct limited agent work toward relevant inputs.","definitionFr":"L'attention humaine sélectionne sous capacité limitée. Un score de priorité logiciel n'est ni un mécanisme neuronal ni une mesure de conscience.","family":"cognition-control","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Attention research studies selective processing under limited capacity. A runtime priority score is a resource-allocation signal and should not be conflated with human attention or its neural mechanisms.","scienceFr":"L'attention humaine sélectionne sous capacité limitée. Un score de priorité logiciel n'est ni un mécanisme neuronal ni une mesure de conscience.","mathematicalModel":"A scheduler may rank item i by priority pᵢ=α·relevanceᵢ+β·urgencyᵢ+γ·uncertaintyᵢ, then apply hard permission and budget constraints. Coefficients require task-specific evaluation.","mathematicalModelFr":"Classer i par p_i=α·pertinence_i+β·urgence_i+γ·incertitude_i, puis appliquer permissions et budget.","biologicalInspiration":"Selective biological attention allocates limited processing to salient input. A GenOS priority score borrows scarcity and selection, not a neural attentional mechanism.","biologicalInspirationFr":"L'attention biologique alloue une capacité limitée aux entrées saillantes. Un score GenOS reprend rareté et sélection, non le mécanisme neural.","literatureMechanisms":["neuron-model"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agow/attentionCreditService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agow/attentionCreditService.js"},{"path":"backend/src/services/agow/workspaceArbitrationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agow/workspaceArbitrationService.js"},{"path":"backend/tests/test_agow_active_query.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agow_active_query.js"}],"related":["agow","sensorium","metabolism"],"source":"02-orchestration/agow.md","routes":{"en":"/en/concepts/attention","fr":"/fr/concepts/attention"}},{"id":"consciousness-taxonomy","title":"Mind and consciousness taxonomy","titleFr":"Taxonomie de l'esprit et de la conscience","definition":"A vocabulary for discussing computational indicators while separating them from claims of subjective experience.","definitionFr":"Les recherches sur la conscience séparent accès fonctionnel, rapport verbal et expérience subjective. Un indicateur logiciel teste une fonction, sans établir une phénoménologie.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Consciousness research distinguishes behavioral access, reportability and subjective experience. A software indicator can test a functional property; it cannot establish phenomenology without an accepted bridge principle.","scienceFr":"Les recherches sur la conscience séparent accès fonctionnel, rapport verbal et expérience subjective. Un indicateur logiciel teste une fonction, sans établir une phénoménologie.","mathematicalModel":"Let I be a vector of separately measured indicators under test conditions T. Report I and uncertainty U(I|T); do not infer subjective experience S from I without a validated implication I⇒S.","mathematicalModelFr":"Mesurer séparément les indicateurs I sous conditions T et leur incertitude U(I|T). L'implication I⇒expérience subjective n'est pas établie.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["conscious-workspace"],"useCases":[],"failureModes":[],"codeSources":[],"related":["theory-of-self","functional-indicators"],"source":"01-concepts/conscience-esprit-mental.md","routes":{"en":"/en/concepts/consciousness-taxonomy","fr":"/fr/concepts/consciousness-taxonomy"}},{"id":"functional-indicators","title":"Functional indicators","titleFr":"Indicateurs fonctionnels","definition":"Observable indicators used for bounded analysis; they do not establish subjective consciousness.","definitionFr":"Un indicateur opérationnel mesure une capacité observable dans un test défini. Il ne permet pas d'inférer une expérience subjective.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Operational indicators measure observable capabilities under specified tests. A positive indicator supports only the tested behavior and cannot establish subjective experience.","scienceFr":"Un indicateur opérationnel mesure une capacité observable dans un test défini. Il ne permet pas d'inférer une expérience subjective.","mathematicalModel":"For test suite T, report indicator I=(passes, trials, conditions, uncertainty). Do not collapse heterogeneous indicators into a single score without a validated model.","mathematicalModelFr":"Pour tests T, publier I=(réussites,essais,conditions,incertitude) sans agréger des indicateurs hétérogènes sans validation.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[],"related":["consciousness-taxonomy","evidence"],"source":"01-concepts/indicateurs-fonctionnels.md","routes":{"en":"/en/concepts/functional-indicators","fr":"/fr/concepts/functional-indicators"}},{"id":"epistemics","title":"Epistemics","titleFr":"Épistémologie","definition":"The runtime vocabulary and procedures for representing what is known, uncertain, or contested.","definitionFr":"L'épistémologie étudie connaissance, justification et croyance. Le registre logiciel représente des affirmations, sources et règles d'inférence.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Epistemology studies knowledge, justification, and belief. A runtime epistemic ledger represents claims and support relations; its labels depend on source quality and explicit inference rules.","scienceFr":"L'épistémologie étudie connaissance, justification et croyance. Le registre logiciel représente des affirmations, sources et règles d'inférence.","mathematicalModel":"Represent claim c with support set E_c, provenance π_c, and confidence rule f(E_c,π_c). Keep the rule and uncertainty visible; confidence is not proof.","mathematicalModelFr":"Affirmation c avec preuves E_c, provenance π_c et règle de confiance f(E_c,π_c) ; confiance ≠ démonstration.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["gettier-problem"],"useCases":["Keep a claim's scope, sources, and uncertainty visible during review.","Preserve conflicting observations for later adjudication instead of silently overwriting them."],"failureModes":["Declared evidence may be irrelevant or invalid.","Confidence is not truth, and provenance alone does not establish correctness.","Consensus can preserve a shared error."],"codeSources":[{"path":"backend/src/services/epistemics.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/epistemics.js"},{"path":"backend/tests/test_epistemics.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_epistemics.js"}],"related":["beliefs","claims","evidence","provenance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/epistemics","fr":"/fr/concepts/epistemics"}},{"id":"beliefs","title":"Beliefs","titleFr":"Croyances","definition":"Versioned propositions with confidence, provenance, and revision history.","definitionFr":"La révision des croyances étudie les changements d'un ensemble de propositions. Un enregistrement GenOS est une assertion auditée, non un état mental humain.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Belief revision research studies how a set of accepted propositions changes when new information arrives. A versioned runtime record is an auditable assertion, not a human mental state.","scienceFr":"La révision des croyances étudie les changements d'un ensemble de propositions. Un enregistrement GenOS est une assertion auditée, non un état mental humain.","mathematicalModel":"A belief record b=(proposition, confidence, evidence, version). Revision operator * maps (belief state, new evidence) to a new state while preserving stated consistency constraints.","mathematicalModelFr":"Croyance b=(proposition,confiance,preuve,version). L'opérateur * révise l'état sous contraintes de cohérence.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["brier-calibration"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/biocenose/deliberation/beliefRevisionService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biocenose/deliberation/beliefRevisionService.js"},{"path":"backend/tests/test_biocenose_belief_revision.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biocenose_belief_revision.js"}],"related":["claims","evidence","contradictions","brier-calibration"],"source":"01-concepts/savoir-et-epistemologie.md","routes":{"en":"/en/concepts/beliefs","fr":"/fr/concepts/beliefs"}},{"id":"claims","title":"Claims","titleFr":"Affirmations","definition":"Explicit statements that can be supported, challenged, scoped, and linked to evidence.","definitionFr":"Une affirmation est une proposition évaluable. La distinguer de ses preuves permet l'examen des désaccords et des limites de portée.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A claim is an assessable proposition. Separating claims from their evidence supports review, contradiction handling, and scoped conclusions; a stored claim is not itself a fact.","scienceFr":"Une affirmation est une proposition évaluable. La distinguer de ses preuves permet l'examen des désaccords et des limites de portée.","mathematicalModel":"Use a typed proposition c with scope and predicate. Evaluation returns status(c,E)∈{supported, contradicted, unresolved} under a declared decision rule.","mathematicalModelFr":"Statut(c,E)∈{appuyé,contredit,non résolu} selon une règle de décision déclarée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/biocenose/claims/communityClaimGraph.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biocenose/claims/communityClaimGraph.js"},{"path":"backend/tests/test_biocenose_claim_graph.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biocenose_claim_graph.js"}],"related":["evidence","provenance","contradictions"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/claims","fr":"/fr/concepts/claims"}},{"id":"evidence","title":"Evidence","titleFr":"Preuves","definition":"Artifacts and observations used to support or reject a claim under a stated decision rule.","definitionFr":"Une preuve est interprétée relativement à une affirmation, une collecte et une règle ; provenance et contre-observations comptent.","family":"knowledge-evidence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Evidence is interpreted relative to a claim, collection process, and decision rule. Artifacts can be incomplete, correlated, or misattributed; provenance is part of the evaluation.","scienceFr":"Une preuve est interprétée relativement à une affirmation, une collecte et une règle ; provenance et contre-observations comptent.","mathematicalModel":"An evidence record e=(artifact, source, method, time, relation-to-claim). An evaluator maps (c,E,rule) to a qualified status and should preserve contrary observations.","mathematicalModelFr":"Élément e=(artefact,source,méthode,temps,lien à l'affirmation). Évaluer (c,E,règle) sans effacer les éléments contraires.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agentEvidenceService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agentEvidenceService.js"},{"path":"backend/tests/test_epistemic_promotion_integration.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_epistemic_promotion_integration.js"}],"related":["claims","provenance","proof-artifact"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/evidence","fr":"/fr/concepts/evidence"}},{"id":"contradictions","title":"Contradictions","titleFr":"Contradictions","definition":"Conflicting claims or observations preserved for review instead of silently collapsed.","definitionFr":"Deux affirmations incompatibles peuvent différer par portée, temps ou source. Conserver le conflit évite une résolution tacite trompeuse.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Contradiction handling is a knowledge-representation problem: inconsistent claims may have different scopes, sources, or times. Preserving the conflict helps review instead of silently erasing information.","scienceFr":"Deux affirmations incompatibles peuvent différer par portée, temps ou source. Conserver le conflit évite une résolution tacite trompeuse.","mathematicalModel":"For propositions p and ¬p, store both with scope and provenance. A paraconsistent policy can prevent one contradiction from making every proposition derivable; the chosen logic must be named.","mathematicalModelFr":"Pour p et ¬p, garder portée et provenance. Une logique paraconsistante peut éviter qu'une contradiction implique tout.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/epistemic/contradictionBus.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/epistemic/contradictionBus.js"},{"path":"backend/tests/epistemic_challenge_test.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/epistemic_challenge_test.js"}],"related":["beliefs","claims","brier-calibration"],"source":"01-concepts/savoir-et-epistemologie.md","routes":{"en":"/en/concepts/contradictions","fr":"/fr/concepts/contradictions"}},{"id":"provenance","title":"Provenance","titleFr":"Provenance","definition":"Source and lineage information attached to evidence, findings, and decisions.","definitionFr":"La provenance retrace l'origine et les transformations des données. Une attribution améliore l'audit sans garantir la fiabilité.","family":"knowledge-evidence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Data provenance records where information came from and how it was transformed. Attribution improves auditability but does not guarantee that the source is reliable or the conclusion valid.","scienceFr":"La provenance retrace l'origine et les transformations des données. Une attribution améliore l'audit sans garantir la fiabilité.","mathematicalModel":"Represent derivation as a directed acyclic graph G=(V,E), where source nodes feed transformation nodes and claim nodes. Each edge records the contribution relation.","mathematicalModelFr":"Graphe orienté G=(V,E) des sources, transformations et affirmations, avec contribution enregistrée sur chaque lien.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/provenanceResolver.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/provenanceResolver.js"},{"path":"backend/tests/test_provenance_service.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_provenance_service.js"}],"related":["evidence","agent-git","counterfactual-workspaces"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/provenance","fr":"/fr/concepts/provenance"}},{"id":"brier-calibration","title":"Brier calibration","titleFr":"Calibration de Brier","definition":"A scoring method for comparing probabilistic forecasts with resolved outcomes.","definitionFr":"Le score de Brier évalue des prévisions probabilistes confrontées à des résultats résolus. Un seul cas ne démontre pas une bonne calibration.","family":"knowledge-evidence","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The Brier score was introduced to verify probabilistic weather forecasts. It evaluates forecasts against resolved outcomes; small samples, changing base rates, and selective resolution can make a score misleading.","scienceFr":"Le score de Brier évalue des prévisions probabilistes confrontées à des résultats résolus. Un seul cas ne démontre pas une bonne calibration.","mathematicalModel":"For binary outcomes yᵢ∈{0,1} and forecasts pᵢ, BS=N⁻¹Σᵢ(pᵢ−yᵢ)². Lower is better on the same evaluation set, but calibration and discrimination are distinct properties.","mathematicalModelFr":"Pour N issues binaires y_i et prévisions p_i : BS=N⁻¹Σ_i(p_i−y_i)². Plus faible signifie mieux sur le même ensemble.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["brier-calibration"],"useCases":["Compare calibrated forecasts after outcomes are resolved.","Inspect whether a consensus policy improves probabilistic forecasts over a stated baseline."],"failureModes":["Scoring forecasts before outcomes resolve invents labels.","Changing the event definition or population makes scores incomparable.","A lower aggregate score can hide subgroup miscalibration."],"codeSources":[{"path":"backend/src/services/biocenose/calibration/calibrationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biocenose/calibration/calibrationService.js"},{"path":"backend/tests/epistemic_biocenose_test.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/epistemic_biocenose_test.js"}],"related":["beliefs","biocenose","evidence"],"source":"01-concepts/savoir-et-epistemologie.md","routes":{"en":"/en/concepts/brier-calibration","fr":"/fr/concepts/brier-calibration"}},{"id":"gettier","title":"Gettier problems","titleFr":"Problèmes de Gettier","definition":"A model for examining why a justified belief can still fail to count as knowledge.","definitionFr":"Les cas de Gettier montrent qu'une croyance vraie et justifiée peut rester accidentellement correcte. Il n'en découle pas de test API binaire du savoir.","family":"knowledge-evidence","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Gettier cases challenge the idea that justified true belief is sufficient for knowledge. A software system can preserve justification and outcome status, but the philosophical problem does not yield a binary API test for knowledge.","scienceFr":"Les cas de Gettier montrent qu'une croyance vraie et justifiée peut rester accidentellement correcte. Il n'en découle pas de test API binaire du savoir.","mathematicalModel":"Keep truth status T, support status J, and provenance separate. Even T∧J may be insufficient under some accounts; the system should report the premises rather than assert knowledge.","mathematicalModelFr":"Garder séparés vérité T, justification J et provenance ; même T∧J peut être insuffisant selon le cas.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["gettier-problem"],"useCases":[],"failureModes":[],"codeSources":[],"related":["beliefs","evidence","provenance"],"source":"01-concepts/savoir-et-epistemologie.md","routes":{"en":"/en/concepts/gettier","fr":"/fr/concepts/gettier"}},{"id":"knowledge","title":"Knowledge","titleFr":"Connaissances","definition":"A structured representation of sources, claims, inference, and uncertainty.","definitionFr":"Un système de connaissances organise sources, affirmations et inférences. La connexion du graphe n'établit pas la vérité des conclusions.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Knowledge systems organize sources, claims, and inference. Their outputs are bounded by representation, retrieval, and source coverage; graph connectivity does not establish truth.","scienceFr":"Un système de connaissances organise sources, affirmations et inférences. La connexion du graphe n'établit pas la vérité des conclusions.","mathematicalModel":"A claim graph K=(C,E_s,E_c) contains claims, support edges, and contradiction edges. Inference rules determine which conclusions are admissible.","mathematicalModelFr":"Graphe K=(C,E_appui,E_conflit) ; seules les règles d'inférence déclarées rendent une conclusion admissible.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["gettier-problem"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/philosophy/serviceMaturity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/philosophy/serviceMaturity.js"},{"path":"backend/src/philosophy/conceptRegistry.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/philosophy/conceptRegistry.js"}],"related":["epistemics","beliefs","evidence","provenance"],"source":"01-concepts/savoir-et-epistemologie.md","routes":{"en":"/en/concepts/knowledge","fr":"/fr/concepts/knowledge"}},{"id":"genos-philosophy","title":"GenOS Philosophy","titleFr":"Philosophie GenOS","definition":"A canonical registry with 420 bounded executable audits over eleven shared primitives, linked to Ontogenesis verification without granting promotion authority.","definitionFr":"Le registre philosophique conserve 420 notions, théories, méthodes et normes avec leurs sources et interprétations. Chaque entrée possède un audit logiciel borné sur onze primitives partagées : une donnée absente reste non observée, une condition fausse est violée. L'Ontogenèse revalide les audits explicitement demandés avant intégration, sans leur accorder d'autorité de promotion. Les 15 120 observations simulées ne prouvent ni la vérité des théories, ni une conscience subjective, ni leur utilité sur missions réelles.","family":"knowledge-evidence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"This is a software registry with bounded executable audits, not a claim that philosophical theories are true or that GenOS has subjective consciousness. A declared field or boolean can satisfy a local predicate without proving its external truth, source independence or the full philosophical invariant. Simulated activation and ablation tests remain distinct from real-mission validation.","scienceFr":"Le registre philosophique conserve 420 notions, théories, méthodes et normes avec leurs sources et interprétations. Chaque entrée possède un audit logiciel borné sur onze primitives partagées : une donnée absente reste non observée, une condition fausse est violée. L'Ontogenèse revalide les audits explicitement demandés avant intégration, sans leur accorder d'autorité de promotion. Les 15 120 observations simulées ne prouvent ni la vérité des théories, ni une conscience subjective, ni leur utilité sur missions réelles.","mathematicalModel":"For a concept c, compare an activated run Y(c) with a baseline Y(∅) under the same scenario and budget. The useful effect is ΔY=Y(c)−Y(∅), interpreted only with declared metrics, provenance, and failure conditions.","mathematicalModelFr":"Pour un concept c, comparer un résultat Y(c) à une baseline Y(∅), à scénario et budget identiques : ΔY = Y(c) − Y(∅). Les métriques, la provenance et les conditions de rejet doivent être déclarées. Ce protocole de comparaison ne constitue pas un résultat expérimental.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Classify and de-duplicate the philosophical registry.","Turn a selected concept into an auditable implementation proposal.","Compare concept-enabled and baseline runs across agent organizations.","Preserve competing interpretations and explicit trade-offs."],"failureModes":["A duplicate or ambiguous entry can receive inconsistent meanings.","A philosophical theory can be mistaken for an executable mechanism.","A successful tool call can be mistaken for evidence that a concept improves GenOS.","A topology that works for one mission can be overgeneralized to others.","A norm can guide or justify a decision without resolving the underlying moral disagreement."],"codeSources":[{"path":"backend/src/philosophy/operationalProfiles.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/philosophy/operationalProfiles.js"},{"path":"backend/src/services/implementationContractRouter.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/implementationContractRouter.js"},{"path":"backend/src/services/ontogenesis/missionCapabilityPlanService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/ontogenesis/missionCapabilityPlanService.js"},{"path":"backend/tests/test_philosophy_executable_contracts.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_philosophy_executable_contracts.js"},{"path":"backend/tests/test_philosophy_observation_binding.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_philosophy_observation_binding.js"},{"path":"backend/tests/test_philosophy_ontogenesis_integration.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_philosophy_ontogenesis_integration.js"}],"related":["epistemics","beliefs","evidence","provenance","governance","ontogenese"],"source":"03-reference/contrats-philosophiques-ontogenese.md","routes":{"en":"/en/concepts/genos-philosophy","fr":"/fr/concepts/genos-philosophy"}},{"id":"episodic-memory","title":"Episodic memory","titleFr":"Mémoire épisodique","definition":"Records of contextualized events, actions, observations, and outcomes.","definitionFr":"La mémoire épisodique humaine situe les événements vécus dans un contexte temporel. GenOS stocke des enregistrements contextualisés sans souvenir autobiographique.","family":"memory-learning","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Human episodic memory concerns personally experienced events situated in time and context. GenOS stores machine-readable event records; that shared vocabulary does not imply recollection, autobiographical consciousness, or the encoding and consolidation biology of a human hippocampus.","scienceFr":"La mémoire épisodique humaine situe les événements vécus dans un contexte temporel. GenOS stocke des enregistrements contextualisés sans souvenir autobiographique.","mathematicalModel":"A record can be represented as e = (context, action, observation, outcome, provenance). Retrieval ranks candidate records against a query q; the ranking is an engineering policy, not a model of human remembering.","mathematicalModelFr":"Épisode e=(contexte,action,observation,résultat,provenance). Le classement par requête q est une politique logicielle.","biologicalInspiration":"Human episodic memory links events to time and context. GenOS records context, action and outcome to support later review, without human recollection.","biologicalInspirationFr":"La mémoire épisodique humaine lie événements, temps et contexte. GenOS enregistre contexte, action et résultat pour une revue ultérieure, sans souvenir vécu.","literatureMechanisms":["episodic-memory"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/episodicMemoryService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/episodicMemoryService.js"},{"path":"backend/tests/test_episodic_memory.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_episodic_memory.js"}],"related":["semantic-memory","agent-git","provenance"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/episodic-memory","fr":"/fr/concepts/episodic-memory"}},{"id":"semantic-memory","title":"Semantic memory","titleFr":"Mémoire sémantique","definition":"Indexed facts and relationships retrieved to supply context to a mission.","definitionFr":"La mémoire sémantique concerne des connaissances générales plutôt que des épisodes précis. GenOS indexe propositions et relations sans modèle cognitif humain validé.","family":"memory-learning","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Semantic memory is commonly distinguished from memory for specific episodes. This entry concerns indexed propositions and relationships. Its storage and retrieval behavior must be assessed as an information system, not inferred from the cognitive label.","scienceFr":"La mémoire sémantique concerne des connaissances générales plutôt que des épisodes précis. GenOS indexe propositions et relations sans modèle cognitif humain validé.","mathematicalModel":"Represent a fact as (subject, relation, object, scope, source). Query ranking may combine lexical match, vector similarity, recency, and source quality; weights and normalization must be reported by the implementation.","mathematicalModelFr":"Fait f=(sujet,relation,objet,portée,source). Le rang peut combiner lexique, vecteur, récence et qualité de source, avec poids déclarés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["semantic-memory"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agentMemoryStore.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agentMemoryStore.js"},{"path":"backend/tests/test_memory_invariants.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_memory_invariants.js"}],"related":["episodic-memory","vector-memory","provenance"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/semantic-memory","fr":"/fr/concepts/semantic-memory"}},{"id":"vector-memory","title":"Vector memory","titleFr":"Mémoire vectorielle","definition":"A similarity-search representation used to retrieve related items from an embedding index.","definitionFr":"La recherche vectorielle rapproche des représentations apprises dans un espace géométrique ; une proximité sémantique peut récupérer un élément faux.","family":"memory-learning","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Vector search retrieves items by proximity in an embedding space. That is a learned geometric representation, not a biological memory mechanism; semantic similarity can return related but incorrect records.","scienceFr":"La recherche vectorielle rapproche des représentations apprises dans un espace géométrique ; une proximité sémantique peut récupérer un élément faux.","mathematicalModel":"For normalized vectors x and q, cosine similarity is s(x,q)=x·q. Top-k retrieval returns the k greatest scores; a similarity score alone is not truth confidence or evidence strength.","mathematicalModelFr":"Pour vecteurs normalisés x et q, similarité cosinus s(x,q)=x·q. Top-k sélectionne les plus grands scores sans établir leur vérité.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["memory-retrieval"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/tests/test_vector_memory_contracts.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_vector_memory_contracts.js"},{"path":"backend/tests/test_qdrant_vector_store.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_qdrant_vector_store.js"}],"related":["semantic-memory","episodic-memory"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/vector-memory","fr":"/fr/concepts/vector-memory"}},{"id":"procedural-memory","title":"Procedural memory","titleFr":"Mémoire procédurale","definition":"Reusable instructions or action sequences represented as runtime knowledge.","definitionFr":"La mémoire procédurale humaine concerne les habiletés apprises. Ici, une procédure est une instruction logicielle versionnée dont les préconditions et résultats doivent être contrôlés.","family":"memory-learning","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Procedural memory in cognitive science concerns learned skills and action sequences. Here a procedure is a versioned software instruction with preconditions and outcome checks; storing it does not prove skill acquisition.","scienceFr":"La mémoire procédurale humaine concerne les habiletés apprises. Ici, une procédure est une instruction logicielle versionnée dont les préconditions et résultats doivent être contrôlés.","mathematicalModel":"Represent procedure P=(preconditions, steps, postconditions, version). Permit invocation only if preconditions hold; accept success only if postconditions are independently checked.","mathematicalModelFr":"Procédure P=(préconditions, étapes, postconditions, version). Exécuter si les préconditions tiennent ; accepter seulement après vérification des postconditions.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["episodic-memory","procedural-skill"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/proceduralPersistenceService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/proceduralPersistenceService.js"},{"path":"backend/src/services/agents/deterministicWorkerProcedures.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agents/deterministicWorkerProcedures.js"}],"related":["episodic-memory","instinct","workflows"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/procedural-memory","fr":"/fr/concepts/procedural-memory"}},{"id":"synaptic-plasticity","title":"Synaptic plasticity","titleFr":"Plasticité synaptique","definition":"A bounded update of selected associations or weights based on observed signals.","definitionFr":"Une synapse biologique varie selon activité et état cellulaire. Une association logicielle ajustée par GenOS est une analogie qu'il faut évaluer sur des tâches.","family":"memory-learning","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological synapses change under activity and biochemical conditions. GenOS uses the term for bounded updates to software associations; the analogy does not establish biological fidelity or demonstrate learning quality without controlled evaluation.","scienceFr":"Une synapse biologique varie selon activité et état cellulaire. Une association logicielle ajustée par GenOS est une analogie qu'il faut évaluer sur des tâches.","mathematicalModel":"A simple bounded update can be written w′=clip(w+η·δ, w_min, w_max), with learning rate η and observed signal δ. The update rule, signal provenance, and evaluation set determine its meaning.","mathematicalModelFr":"Mise à jour bornée w′=clip(w+η·δ,w_min,w_max), où η est le taux et δ le signal observé.","biologicalInspiration":"Synaptic efficacy changes with activity. The software analogy motivates bounded association updates, whose usefulness must be tested independently.","biologicalInspirationFr":"L'efficacité synaptique change avec l'activité. L'analogie motive des ajustements bornés d'associations logicielles, à tester séparément.","literatureMechanisms":["synaptic-plasticity"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agow/plasticity/agowPlasticityCoordinator.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agow/plasticity/agowPlasticityCoordinator.js"},{"path":"backend/tests/test_agow_plasticity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agow_plasticity.js"}],"related":["stdp","episodic-memory","natural-search-control-plane"],"source":"01-concepts/neurobiologie-et-plasticite.md","routes":{"en":"/en/concepts/synaptic-plasticity","fr":"/fr/concepts/synaptic-plasticity"}},{"id":"stdp","title":"STDP","titleFr":"STDP","definition":"Spike-timing-dependent plasticity as a computationally bounded timing-based update rule.","definitionFr":"Les expériences de Bi et Poo montrent une dépendance au temps entre impulsions pré- et postsynaptiques. Une règle logicielle simplifiée ne reproduit pas le neurone.","family":"memory-learning","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Experiments on hippocampal neurons report changes that depend on the relative timing of pre- and postsynaptic spikes. A software timing rule is a chosen approximation and requires its own stability and outcome tests.","scienceFr":"Les expériences de Bi et Poo montrent une dépendance au temps entre impulsions pré- et postsynaptiques. Une règle logicielle simplifiée ne reproduit pas le neurone.","mathematicalModel":"A common pair-based form is Δw=A₊e^(−Δt/τ₊) for Δt>0 and Δw=−A₋e^(Δt/τ₋) for Δt<0. Parameters and sign convention must be stated; this equation is not evidence that GenOS implements it.","mathematicalModelFr":"Δw=A₊e^(−Δt/τ₊) si Δt>0 ; Δw=−A₋e^(Δt/τ₋) si Δt<0. Déclarer paramètres et convention du signe.","biologicalInspiration":"Experiments show that spike order affects some synaptic changes. A timing-dependent software rule borrows this structure but not the full cellular mechanism.","biologicalInspirationFr":"Des expériences montrent que l'ordre des impulsions influe sur certaines synapses. Une règle logicielle temporelle reprend cette structure, pas toute la cellule.","literatureMechanisms":["stdp"],"useCases":["Explore how event order and a learning window change a bounded association update.","Compare a proposed plasticity rule against a fixed-weight baseline in a controlled task."],"failureModes":["The sign convention for Δt must be declared.","A simplified pair rule omits cell type, state, and biological context.","A computed software weight update is not evidence of biological learning."],"codeSources":[{"path":"backend/src/services/primitiveHandlers/memoryStdp.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/primitiveHandlers/memoryStdp.js"},{"path":"backend/tests/test_agow_plasticity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agow_plasticity.js"}],"related":["synaptic-plasticity","memory-fossilization"],"source":"01-concepts/neurobiologie-et-plasticite.md","routes":{"en":"/en/concepts/stdp","fr":"/fr/concepts/stdp"}},{"id":"memory-fossilization","title":"Fossilization","titleFr":"Fossilisation de la mémoire","definition":"Terminal archival of a lineage or experience while preserving its historical record.","definitionFr":"Un fossile conserve une trace d'un organisme passé. L'analogie logicielle archive une lignée close et sa provenance, sans réactiver son processus.","family":"memory-learning","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Fossils preserve traces of past organisms, not active behavior. The software analogy archives a closed lineage with provenance so later analysis can inspect it without reviving the process.","scienceFr":"Un fossile conserve une trace d'un organisme passé. L'analogie logicielle archive une lignée close et sa provenance, sans réactiver son processus.","mathematicalModel":"Archive A=(lineage, terminal state, evidence, digest). An archived branch is immutable; retrieval can inspect A but may not treat it as a live agent.","mathematicalModelFr":"Archive A=(lignée, état terminal, preuves, empreinte). La consultation de A ne rend pas la lignée active.","biologicalInspiration":"Fossils preserve evidence of past lineages. The software metaphor justifies immutable archival and provenance, not a biological fossilization process.","biologicalInspirationFr":"Les fossiles préservent des traces de lignées passées. La métaphore justifie un archivage immuable avec provenance, sans processus biologique.","literatureMechanisms":["episodic-memory"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/fossil.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/fossil.rs"},{"path":"crates/genos-store/src/fossil.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-store/src/fossil.rs"}],"related":["episodic-memory","agent-git","evolution-selection"],"source":"01-concepts/fossilisation.md","routes":{"en":"/en/concepts/memory-fossilization","fr":"/fr/concepts/memory-fossilization"}},{"id":"memory-retrieval","title":"Memory retrieval","titleFr":"Récupération de la mémoire","definition":"A ranked selection of stored items that can inform, but cannot prove, a current decision.","definitionFr":"Un rappel associatif peut retrouver un élément avec un indice partiel. Les index GenOS diffèrent des réseaux neuronaux à mémoire adressée par contenu.","family":"memory-learning","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Associative retrieval can find a stored item from partial cues. Neural content-addressable memory is one historical mechanism reference; GenOS search indexes and ranking are software services with different substrates and failure modes.","scienceFr":"Un rappel associatif peut retrouver un élément avec un indice partiel. Les index GenOS diffèrent des réseaux neuronaux à mémoire adressée par contenu.","mathematicalModel":"Given query q and records E, rank e by S(e,q)=wᵀφ(e,q), where φ contains declared signals. Retrieval returns candidates; verification remains a separate operation.","mathematicalModelFr":"Pour requête q et éléments E, classer e avec S(e,q)=wᵀφ(e,q). La récupération produit des candidats, pas une preuve.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["memory-retrieval"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agentMemoryStore.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agentMemoryStore.js"},{"path":"backend/src/services/autobiographicalMemory/recallService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/autobiographicalMemory/recallService.js"}],"related":["episodic-memory","semantic-memory","evidence"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/memory-retrieval","fr":"/fr/concepts/memory-retrieval"}},{"id":"morphogenesis","title":"Morphogenesis","titleFr":"Morphogenèse","definition":"A runtime for composing bounded executable graphs from topology and control operators.","definitionFr":"La morphogenèse biologique produit des formes par interactions locales et contraintes. GenOS transpose ce principe à la composition explicite de graphes d'exécution.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological morphogenesis produces form through local interactions and constraints. GenOS borrows graph composition and growth vocabulary for explicit topology operators; it does not model tissue mechanics or development.","scienceFr":"La morphogenèse biologique produit des formes par interactions locales et contraintes. GenOS transpose ce principe à la composition explicite de graphes d'exécution.","mathematicalModel":"Let G=(V,E) be a typed execution graph. Apply operator o only when its preconditions P_o(G) hold, then validate invariants I(o(G)) before admitting the new graph.","mathematicalModelFr":"Pour un graphe typé G=(V,E), appliquer l'opérateur o si P_o(G) est vrai, puis contrôler les invariants I(o(G)).","biologicalInspiration":"Turing's reaction–diffusion model shows how local rules can generate global form. GenOS borrows constrained composition, not chemical diffusion or tissue growth.","biologicalInspirationFr":"Le modèle réaction-diffusion de Turing montre comment des règles locales produisent une forme globale. GenOS reprend la composition contrainte, pas la chimie.","literatureMechanisms":["swarm","biological-morphogenesis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/morphogenesis/graph/morphologyCompiler.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/graph/morphologyCompiler.js"},{"path":"backend/src/services/morphogenesis/runtime/operators/topologyExecutor.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/runtime/operators/topologyExecutor.js"},{"path":"backend/tests/test_morphogenesis_topology_plans.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_morphogenesis_topology_plans.js"},{"path":"backend/tests/test_morphogenesis_topology_inventory.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_morphogenesis_topology_inventory.js"}],"related":["trinity","a-team","worker-kinds","evidence"],"source":"02-orchestration/noyau-controle-morphogenetique.md","routes":{"en":"/en/concepts/morphogenesis","fr":"/fr/concepts/morphogenesis"}},{"id":"epistemic-meristem","title":"Epistemic meristem","titleFr":"Méristème épistémique","definition":"Tracks verified coverage gaps and revalidates them before proposing growth.","definitionFr":"Le méristème végétal est une zone de croissance. L'analogie désigne l'extension contrôlée d'une couverture de connaissances dont la lacune a été vérifiée.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A plant meristem is a region of active growth. The analogy denotes a controlled expansion of verified knowledge coverage: a gap must be demonstrated before growth is proposed.","scienceFr":"Le méristème végétal est une zone de croissance. L'analogie désigne l'extension contrôlée d'une couverture de connaissances dont la lacune a été vérifiée.","mathematicalModel":"For requirement set R and verified coverage C, gap set U=R\\C. A growth proposal targets u∈U only after its absence and verifier are recorded.","mathematicalModelFr":"Pour besoins R et couverture vérifiée C, lacunes U=R\\C. Proposer une extension pour u∈U après vérification de son absence.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["biological-morphogenesis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/morphogenesis/capabilities/experimentWaveRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/experimentWaveRuntime.js"},{"path":"backend/src/services/morphogenesis/capabilities/trinityMeristemBridge.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/trinityMeristemBridge.js"},{"path":"backend/tests/test_capability_wave_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_wave_runtime.js"},{"path":"backend/tests/test_capability_scientific_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_scientific_runtime.js"}],"related":["morphogenesis","evidence","rhizome"],"source":"02-orchestration/meristeme-epistemique.md","routes":{"en":"/en/concepts/epistemic-meristem","fr":"/fr/concepts/epistemic-meristem"}},{"id":"unblocking-spiral","title":"Unblocking spiral","titleFr":"Spirale de déblocage","definition":"Changes method and scope through a bounded, evidence-gated response to a repeated blockage.","definitionFr":"Une recherche adaptative peut changer de représentation ou de méthode après des échecs répétés. La spirale est une politique d'escalade, sans garantie de progrès.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Adaptive search can escape repeated failure by changing representation or method. The spiral is an engineering escalation policy, not a biological law or a guarantee of progress.","scienceFr":"Une recherche adaptative peut changer de représentation ou de méthode après des échecs répétés. La spirale est une politique d'escalade, sans garantie de progrès.","mathematicalModel":"If a blockage signature repeats k≥k_max times without verified progress ΔQ>0, choose a different admissible method m′ and stop when the budget B is exhausted.","mathematicalModelFr":"Si un blocage revient k≥k_max fois sans progrès vérifié ΔQ>0, choisir une autre méthode admissible m′ sous budget B.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/morphogenesis/capabilities/spiralRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/spiralRuntime.js"},{"path":"backend/src/services/morphogenesis/synthesis/spiralSearch.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/synthesis/spiralSearch.js"},{"path":"backend/tests/test_capability_spiral_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_spiral_runtime.js"}],"related":["morphogenesis","evidence"],"source":"02-orchestration/spirale-de-deblocage.md","routes":{"en":"/en/concepts/unblocking-spiral","fr":"/fr/concepts/unblocking-spiral"}},{"id":"counterexample-cambium","title":"Counterexample cambium","titleFr":"Cambium des contre-exemples","definition":"Stores counterexamples and gates their reuse in later work.","definitionFr":"Un contre-exemple réfute une proposition universelle sous ses hypothèses. Le cambium évoque un registre qui s'accroît tout en conservant les conditions de validité.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A counterexample falsifies a universal claim under its stated assumptions. The cambium metaphor denotes a growing store of such examples, with conditions retained for valid reuse.","scienceFr":"Un contre-exemple réfute une proposition universelle sous ses hypothèses. Le cambium évoque un registre qui s'accroît tout en conservant les conditions de validité.","mathematicalModel":"For claim ∀x∈D:P(x), a witnessed x*∈D with ¬P(x*) is a counterexample. Reuse requires matching domain and assumptions, not surface similarity.","mathematicalModelFr":"Pour ∀x∈D:P(x), un témoin x*∈D tel que ¬P(x*) réfute la proposition. Sa réutilisation exige le même domaine et les mêmes hypothèses.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/morphogenesis/capabilities/cambiumReplay.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/cambiumReplay.js"},{"path":"backend/src/services/memory/cambiumConsolidationRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/memory/cambiumConsolidationRuntime.js"},{"path":"backend/tests/test_capability_cambium_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_cambium_runtime.js"}],"related":["morphogenesis","evidence","memory-retrieval"],"source":"02-orchestration/cambium-contre-exemples.md","routes":{"en":"/en/concepts/counterexample-cambium","fr":"/fr/concepts/counterexample-cambium"}},{"id":"chronotaxis","title":"Aperiodic chronotaxis","titleFr":"Chronotaxie apériodique","definition":"Persists observation schedules and receipts to expose missed temporal windows.","definitionFr":"Un échantillonnage temporel peut manquer un événement bref. Les échéances apériodiques et les reçus montrent les fenêtres réellement observées.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Time-dependent observation can miss short-lived events when sampling is periodic or delayed. Aperiodic schedules and receipts expose which windows were actually observed.","scienceFr":"Un échantillonnage temporel peut manquer un événement bref. Les échéances apériodiques et les reçus montrent les fenêtres réellement observées.","mathematicalModel":"For event window W=[t_start,t_end] and observation times {t_i}, coverage holds only if some t_i∈W. Record expected and actual t_i to expose misses.","mathematicalModelFr":"Pour fenêtre W=[t_début,t_fin] et observations {t_i}, la couverture exige au moins un t_i∈W. Conserver horaires prévus et réels.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/morphogenesis/capabilities/residentProbeRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/residentProbeRuntime.js"},{"path":"backend/src/services/ontogenesis/scheduleService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/ontogenesis/scheduleService.js"},{"path":"backend/tests/test_capability_probe_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_probe_runtime.js"}],"related":["morphogenesis","observability"],"source":"02-orchestration/chronotaxie-aperiodique.md","routes":{"en":"/en/concepts/chronotaxis","fr":"/fr/concepts/chronotaxis"}},{"id":"risk-ledger","title":"Contracted statistical risk","titleFr":"Risque statistique sous contrat","definition":"Accounts for a bounded promotion-risk budget before opt-in statistical promotion.","definitionFr":"Les décisions statistiques répétées consomment un budget d'erreur déclaré. Un registre ne borne le risque que si hypothèses, dépendances et règles sont explicites.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Statistical decision procedures spend a declared error budget across repeated tests. A ledger can bound promotion risk only if assumptions, dependence and actual decision rules are explicit.","scienceFr":"Les décisions statistiques répétées consomment un budget d'erreur déclaré. Un registre ne borne le risque que si hypothèses, dépendances et règles sont explicites.","mathematicalModel":"For total risk allowance α, allocate α_i≥0 with Σ_i α_i≤α. A promotion consumes its declared allocation only after its test and evidence conditions pass.","mathematicalModelFr":"Pour risque total α, allouer α_i≥0 avec Σ_i α_i≤α. Une promotion dépense sa part après contrôle du test et des preuves.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/morphogenesis/capabilities/riskLineage.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/riskLineage.js"},{"path":"backend/src/services/morphogenesis/capabilities/statisticalProvenance.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/morphogenesis/capabilities/statisticalProvenance.js"},{"path":"backend/tests/test_capability_risk_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_risk_runtime.js"},{"path":"backend/tests/test_capability_integration_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_capability_integration_runtime.js"}],"related":["morphogenesis","evidence","trinity"],"source":"02-orchestration/infini-sous-contrat.md","routes":{"en":"/en/concepts/risk-ledger","fr":"/fr/concepts/risk-ledger"}},{"id":"dynamic-organizations","title":"Dynamic organizations","titleFr":"Organisations dynamiques","definition":"Nineteen declared organization patterns with deterministic step algorithms and varying maturity.","definitionFr":"Les sciences des organisations et les algorithmes distribués étudient l'effet des règles de coordination. Les dix-neuf schémas GenOS déclarent rôles et transitions.","family":"collective-intelligence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Organization science and distributed algorithms study how coordination rules shape decisions. These nineteen software patterns declare roles and transitions; their existence does not demonstrate group effectiveness.","scienceFr":"Les sciences des organisations et les algorithmes distribués étudient l'effet des règles de coordination. Les dix-neuf schémas GenOS déclarent rôles et transitions.","mathematicalModel":"Model organization O=(members, roles, edges, decision rule). At each step, transition T_O(state,input) must preserve authority and resource invariants.","mathematicalModelFr":"Organisation O=(membres, rôles, liens, règle de décision). Chaque transition T_O doit préserver autorité et ressources.","biologicalInspiration":"Biological groups can organize through local roles and interactions. The GenOS patterns are authored coordination rules; observed group success requires separate tests.","biologicalInspirationFr":"Des groupes biologiques peuvent s'organiser par rôles et interactions locales. Les schémas GenOS sont des règles écrites dont l'efficacité reste à mesurer.","literatureMechanisms":["swarm","byzantine-agreement"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/dynamicOrganizationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/dynamicOrganizationService.js"},{"path":"backend/tests/test_dynamic_organization.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_dynamic_organization.js"}],"related":["swarm-intelligence","stigmergy","a-team"],"source":"02-orchestration/topologies-et-capacites.md","routes":{"en":"/en/concepts/dynamic-organizations","fr":"/fr/concepts/dynamic-organizations"}},{"id":"worker-kinds","title":"Worker kinds","titleFr":"Types de workers","definition":"A catalog of runtime worker types selected against role and method capability requirements.","definitionFr":"Un système de rôles typés associe les besoins d'une tâche aux capacités déclarées. Cette compatibilité ne prouve pas la réussite du worker.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Typed role systems match task requirements to declared capabilities. Capability metadata is an admission condition, not evidence that a worker will complete the task correctly.","scienceFr":"Un système de rôles typés associe les besoins d'une tâche aux capacités déclarées. Cette compatibilité ne prouve pas la réussite du worker.","mathematicalModel":"Worker w is eligible for task t when required(t)⊆capabilities(w) and permissions(w,t)=allow, subject to budget(w,t).","mathematicalModelFr":"Worker w admissible pour t si besoins(t)⊆capacités(w), permissions(w,t)=autoriser et budget suffisant.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agents/workerKindService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agents/workerKindService.js"},{"path":"backend/src/services/topologyWorkerKindService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/topologyWorkerKindService.js"},{"path":"backend/tests/test_worker_native_matrix.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_worker_native_matrix.js"},{"path":"backend/tests/test_worker_native_lifecycle.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_worker_native_lifecycle.js"},{"path":"backend/tests/test_worker_native_boundaries.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_worker_native_boundaries.js"}],"related":["resident-daemons","a-team","identity-authority"],"source":"03-reference/types-de-workers.md","routes":{"en":"/en/concepts/worker-kinds","fr":"/fr/concepts/worker-kinds"}},{"id":"resident-daemons","title":"Resident daemons","titleFr":"Daemons résidents","definition":"Long-lived project services that observe state and may propose or carry out bounded work under policy.","definitionFr":"Un daemon est un processus de longue durée dont le cycle de vie, les ressources et l'autorité doivent être supervisés. La métaphore d'organisme n'ajoute aucune propriété biologique.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A daemon is a long-lived software process. Its persistence creates lifecycle, supervision, resource, and authority requirements; the organism metaphor adds no biological property.","scienceFr":"Un daemon est un processus de longue durée dont le cycle de vie, les ressources et l'autorité doivent être supervisés. La métaphore d'organisme n'ajoute aucune propriété biologique.","mathematicalModel":"A supervisor state machine tracks {starting, ready, degraded, stopped}; restart policy is bounded by a retry budget and must retain crash evidence.","mathematicalModelFr":"Automate du superviseur {démarrage,prêt,dégradé,arrêté} ; redémarrages bornés par un budget et traces d'erreur conservées.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/ontogenesis/missionCapabilityPlanService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/ontogenesis/missionCapabilityPlanService.js"},{"path":"backend/src/services/missionContinuityService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/missionContinuityService.js"},{"path":"backend/tests/test_mission_continuity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_mission_continuity.js"}],"related":["ontogenese","worker-kinds","observability"],"source":"03-reference/types-de-daemons.md","routes":{"en":"/en/concepts/resident-daemons","fr":"/fr/concepts/resident-daemons"}},{"id":"agent-relationships","title":"Agent relationships","titleFr":"Relations entre agents","definition":"Declared and measured links that shape coordination, routing, or communication between agents.","definitionFr":"La science des réseaux distingue nœuds et liens. Un lien déclaré entre agents indique une communication possible, pas son activité effective.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Network science distinguishes a system's nodes from its interaction edges. Declared agent links describe possible communication or influence; they do not demonstrate that the links are active or productive.","scienceFr":"La science des réseaux distingue nœuds et liens. Un lien déclaré entre agents indique une communication possible, pas son activité effective.","mathematicalModel":"Represent the organization as G=(V,E), with adjacency Aᵢⱼ encoding permitted or observed links. Keep permission edges separate from observed communication edges.","mathematicalModelFr":"Organisation G=(V,E), avec matrice A_ij pour liens permis ou observés ; séparer permissions et interactions mesurées.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/relationalPhysiology/index.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/relationalPhysiology/index.js"},{"path":"backend/tests/relationalPhysiology/sqlite-hook.test.cjs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/relationalPhysiology/sqlite-hook.test.cjs"}],"related":["communication-ecology","rhizome","stigmergy"],"source":"02-orchestration/relations-inter-agents.md","routes":{"en":"/en/concepts/agent-relationships","fr":"/fr/concepts/agent-relationships"}},{"id":"relational-physiology","title":"Relational physiology","titleFr":"Physiologie relationnelle","definition":"A bounded kernel for relation constraints, provenance independence, authority and admitted routing across 29 relation types.","definitionFr":"Les dépendances sociales et causales modifient le nombre de preuves réellement indépendantes. Le noyau encode les relations pour contraindre routage et quorum.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Social and causal dependence affect how independent evidence can be counted. The software kernel records typed relations to constrain routing and quorum claims; a relation never grants authority.","scienceFr":"Les dépendances sociales et causales modifient le nombre de preuves réellement indépendantes. Le noyau encode les relations pour contraindre routage et quorum.","mathematicalModel":"For sources S, group known dependent origins into equivalence classes C(S). Effective vote count is |C(S)|, not |S|; unknown dependence must not be asserted independent.","mathematicalModelFr":"Regrouper les sources dépendantes S en classes C(S). Le nombre de voix effectives est |C(S)|, non |S| ; une indépendance inconnue reste inconnue.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["byzantine-agreement"],"useCases":[],"failureModes":["Counting siblings or shared-model runs as independent votes.","Treating a manager or guardian label as authorization.","Losing causal history when an edge is revoked."],"codeSources":[],"related":["agent-relationships","communication-ecology","evidence"],"source":"02-orchestration/physiologie-relationnelle.md","routes":{"en":"/en/concepts/relational-physiology","fr":"/fr/concepts/relational-physiology"}},{"id":"communication-ecology","title":"Communication ecology","titleFr":"Écologie de la communication","definition":"Signals and channels that let agents coordinate through bounded, typed communication patterns.","definitionFr":"Une communication dépend du canal, du temps et du bruit. GenOS emploie des signaux typés et des canaux bornés ; l'écologie est une analogie.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Communication systems depend on channel capacity, timing and noise. GenOS uses typed signals and bounded channels; the ecology metaphor does not imply biological communication.","scienceFr":"Une communication dépend du canal, du temps et du bruit. GenOS emploie des signaux typés et des canaux bornés ; l'écologie est une analogie.","mathematicalModel":"A message m=(type, source, target, payload, time) is deliverable only if channel policy P(m)=allow. Measure delivery rate as acknowledged/eligible messages over a stated window.","mathematicalModelFr":"Message m=(type, source, cible, contenu, temps) livrable si P(m)=autoriser. Taux de livraison = accusés/éligibles sur une fenêtre donnée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/signalDeliveryService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/signalDeliveryService.js"},{"path":"backend/src/services/signalReceptorPersistenceService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/signalReceptorPersistenceService.js"}],"related":["agent-relationships","signal-plane","worker-kinds"],"source":"02-orchestration/communication.md","routes":{"en":"/en/concepts/communication-ecology","fr":"/fr/concepts/communication-ecology"}},{"id":"signal-plane","title":"Zero-text signal plane","titleFr":"Plan de signalisation sans texte","definition":"Persisted signals and deliveries, inbox/ACK, leased handler retries and bounded cognitive escalation.","definitionFr":"Une messagerie fiable distingue persistance, traitement et accusé de réception. Une livraison au moins une fois peut produire des doublons.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Reliable messaging separates durable enqueueing from processing and acknowledgment. At-least-once delivery permits duplicates, so handlers need idempotent effects.","scienceFr":"Une messagerie fiable distingue persistance, traitement et accusé de réception. Une livraison au moins une fois peut produire des doublons.","mathematicalModel":"State machine pending→leased→acknowledged or retry. After k failures, backoff d_k=min(d_max,d_0·2^k); terminal quarantine follows the configured retry bound.","mathematicalModelFr":"Automate attente→bail→ACK ou reprise. Après k échecs, délai d_k=min(d_max,d_0·2^k), puis quarantaine à la borne fixée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":["A persisted signal is not proof its business action completed.","Startup currently does not register all production receptors.","Polling tool leases alone do not bind a supplied agent ID to the MCP client identity."],"codeSources":[],"related":["communication-ecology","agent-relationships","g-cir"],"source":"01-concepts/signal-plane-zero-text.md","routes":{"en":"/en/concepts/signal-plane","fr":"/fr/concepts/signal-plane"}},{"id":"g-cir","title":"G-CIR","titleFr":"G-CIR","definition":"A residual cognitive contract that keeps versioned obligations, refusals and per-invocation visibility explicit.","definitionFr":"Un contrat rend explicites les obligations restantes avant un appel au modèle. L'admission typée et les reçus de visibilité ne prouvent pas la compréhension du prompt.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A contract can make residual obligations explicit before a model invocation. The software mechanism combines typed admission, dependency tracking and visibility receipts; it does not prove the model understood its prompt.","scienceFr":"Un contrat rend explicites les obligations restantes avant un appel au modèle. L'admission typée et les reçus de visibilité ne prouvent pas la compréhension du prompt.","mathematicalModel":"Let O be versioned obligations and D their dependency DAG. Invoke only when admission A(input)=true; record hash H(prompt), recipient and model for each call, and retire o∈O only with a valid receipt.","mathematicalModelFr":"Obligations versionnées O et dépendances D. Invoquer si A(entrée)=vrai ; tracer H(prompt), destinataire et modèle, puis clore o∈O sur reçu valide.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":["Escalate a signal with no deterministic receiver after admission.","Compile remaining Trinity hypothesis work under a fixed plan."],"failureModes":["A tool-accessible artifact is not necessarily seen by a model.","A repeated signal must not trigger an unbounded new inference.","A failed or in-flight invocation cannot be treated as a completed answer."],"codeSources":[],"related":["signal-plane","evidence","provenance"],"source":"02-orchestration/g-cir.md","routes":{"en":"/en/concepts/g-cir","fr":"/fr/concepts/g-cir"}},{"id":"mission-continuity","title":"Mission continuity","titleFr":"Continuité de mission","definition":"Durable mission ownership, completion checks, dormancy, wake-up and guarded regeneration across process restarts.","definitionFr":"La persistance permet de reprendre après la perte d'un processus, à condition d'arbitrer les propriétaires et d'éviter les effets dupliqués.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Distributed ownership and durable state permit continuation after process loss, but recovery must arbitrate competing owners and avoid duplicate effects.","scienceFr":"La persistance permet de reprendre après la perte d'un processus, à condition d'arbitrer les propriétaires et d'éviter les effets dupliqués.","mathematicalModel":"For mission m, at most one valid lease owner may launch successor s at time t. Resume requires lease(m,t)=valid, completion contract unsatisfied and wake condition true.","mathematicalModelFr":"Pour mission m, au plus un propriétaire doté d'un bail valide lance un successeur. Reprise si bail valide, contrat inachevé et condition de réveil vraie.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-snapshot"],"useCases":[],"failureModes":["Launching a duplicate successor after a crash.","Treating worker completion as mission evidence.","Rebuilding a resumed prompt from mutable current_task instead of the frozen mission."],"codeSources":[],"related":["ontogenese","resident-daemons","evidence"],"source":"02-orchestration/continuite-mission-organisme.md","routes":{"en":"/en/concepts/mission-continuity","fr":"/fr/concepts/mission-continuity"}},{"id":"agent-git","title":"AgentGit","titleFr":"AgentGit","definition":"Versioned agent state and lineage operations such as commit, branch, diff, replay, and merge.","definitionFr":"Le contrôle de version conserve un historique et des branches immuables. Appliqué à un agent, il ne permet de rejouer que l'état inclus dans la frontière enregistrée.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Version control represents changes as immutable history and branches. Applying the idea to agent state supports comparison and replay only for state included in the recorded boundary.","scienceFr":"Le contrôle de version conserve un historique et des branches immuables. Appliqué à un agent, il ne permet de rejouer que l'état inclus dans la frontière enregistrée.","mathematicalModel":"A commit c=(parent, state digest, metadata). Branches identify commits; merge M(c1,c2) must resolve conflicting state and retain provenance.","mathematicalModelFr":"Commit c=(parent, empreinte d'état, métadonnées). La fusion M(c1,c2) résout les conflits et conserve la provenance.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering","source-control"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agentGitService/index.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agentGitService/index.js"},{"path":"backend/src/services/agentGitService/gitOperations.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agentGitService/gitOperations.js"},{"path":"backend/tests/test_agent_git_sqlite_e2e.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agent_git_sqlite_e2e.js"},{"path":"backend/tests/test_agent_git_invariants_p0.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agent_git_invariants_p0.js"}],"related":["counterfactual-workspaces","provenance","episodic-memory"],"source":"02-orchestration/git-agents.md","routes":{"en":"/en/concepts/agent-git","fr":"/fr/concepts/agent-git"}},{"id":"counterfactual-workspaces","title":"Counterfactual workspaces","titleFr":"Espaces de travail contrefactuels","definition":"Isolated workspaces used to compare alternative changes before any result is promoted.","definitionFr":"Une expérience contrôlée isole les changements candidats. L'isolement améliore l'attribution, mais dépendances communes et biais d'évaluation subsistent.","family":"collective-intelligence","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Controlled experiments isolate candidate changes to support comparison. Branch isolation improves attribution, but shared dependencies and evaluator bias can still couple the outcomes.","scienceFr":"Une expérience contrôlée isole les changements candidats. L'isolement améliore l'attribution, mais dépendances communes et biais d'évaluation subsistent.","mathematicalModel":"Compare outcomes Δᵢ=Y(candidateᵢ)−Y(control) under matched inputs and budgets. Causal interpretation requires the control and treatment conditions to differ only in the declared change.","mathematicalModelFr":"Comparer Δ_i=Y(candidat_i)−Y(témoin) sous mêmes entrées et budgets ; l'interprétation causale exige un changement déclaré unique.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-store/src/snapshot.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-store/src/snapshot.rs"},{"path":"crates/genos-cli/tests/snapshot_contract.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-cli/tests/snapshot_contract.rs"},{"path":"backend/tests/test_agent_git_sqlite_e2e.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agent_git_sqlite_e2e.js"}],"related":["agent-git","gvx","evidence"],"source":"02-orchestration/workspaces-contrefactuel.md","routes":{"en":"/en/concepts/counterfactual-workspaces","fr":"/fr/concepts/counterfactual-workspaces"}},{"id":"trinity","title":"Trinity","titleFr":"Trinity","definition":"Three candidate worlds are compared through a declared evidence barrier before a candidate is retained or promoted.","definitionFr":"Comparer des mondes candidats ressemble à une expérience contrôlée. Le choix dépend d'une tâche commune, de contrôles et d'une barrière de preuves.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Comparing isolated candidate worlds is related to controlled comparison and ablation design. A retained candidate is only as credible as the shared task, controls, evaluator, and evidence barrier.","scienceFr":"Comparer des mondes candidats ressemble à une expérience contrôlée. Le choix dépend d'une tâche commune, de contrôles et d'une barrière de preuves.","mathematicalModel":"Choose candidate j maximizing measured utility Uⱼ only among candidates satisfying evidence threshold Eⱼ≥τ and budget Cⱼ≤C_max. The threshold and utility should be declared before inspecting outcomes.","mathematicalModelFr":"Choisir j maximisant U_j parmi les candidats avec E_j≥τ et C_j≤C_max ; fixer seuil et utilité avant les résultats.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/trinityComparisonRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/trinityComparisonRuntime.js"},{"path":"backend/src/services/trinityResearchRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/trinityResearchRuntime.js"},{"path":"backend/tests/test_trinity_executable_harness.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_trinity_executable_harness.js"},{"path":"backend/tests/test_trinity_runtime_boundaries.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_trinity_runtime_boundaries.js"}],"related":["evidence","counterfactual-workspaces","morphogenesis"],"source":"02-orchestration/topologies/trinity.md","routes":{"en":"/en/concepts/trinity","fr":"/fr/concepts/trinity"}},{"id":"a-team","title":"A-Team","titleFr":"A-Team","definition":"Specialists coordinate work through dependencies, explicit handoffs, and integration of their deliverables.","definitionFr":"La décomposition du travail et le parallélisme peuvent accroître le débit si dépendances et coût d'intégration sont explicites. La métaphore d'équipe ne garantit rien.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Task decomposition and parallel work can improve throughput when dependencies are explicit and integration costs are controlled. Team metaphors do not guarantee independent reasoning or correctness.","scienceFr":"La décomposition du travail et le parallélisme peuvent accroître le débit si dépendances et coût d'intégration sont explicites. La métaphore d'équipe ne garantit rien.","mathematicalModel":"For a dependency DAG G=(T,D), a task is eligible when all predecessors are complete. Total completion time depends on critical path length plus coordination and integration costs.","mathematicalModelFr":"Pour graphe de tâches G=(T,D), tâche admissible si tous ses prédécesseurs sont terminés ; durée selon chemin critique et coûts de coordination.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/aTeamService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/aTeamService.js"},{"path":"backend/src/services/aTeamDispatchService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/aTeamDispatchService.js"},{"path":"backend/tests/test_ateam_execution_e2e.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_ateam_execution_e2e.js"},{"path":"backend/tests/test_ateam_variant_acceptance.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_ateam_variant_acceptance.js"}],"related":["worker-kinds","workflows","morphogenesis"],"source":"02-orchestration/topologies/a-team.md","routes":{"en":"/en/concepts/a-team","fr":"/fr/concepts/a-team"}},{"id":"biocenose","title":"Biocenosis","titleFr":"Biocénose","definition":"A community evaluates proposals through evidence, explicit ballots, and policy-bound aggregation.","definitionFr":"Un jugement collectif peut agréger des évaluations, mais les erreurs corrélées et les incitations faussent une majorité simple. Un vote n'est pas vérité.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Group judgment can aggregate independent assessments, but correlated errors, incentives, and unequal evidence quality can defeat simple majority rules. A vote is a decision record, not ground truth.","scienceFr":"Un jugement collectif peut agréger des évaluations, mais les erreurs corrélées et les incitations faussent une majorité simple. Un vote n'est pas vérité.","mathematicalModel":"For binary ballots bᵢ∈{0,1}, quorum requires n_valid≥q·n_eligible; acceptance may require Σbᵢ/n_valid≥τ. Independence assumptions and abstentions must be reported.","mathematicalModelFr":"Pour votes binaires b_i, quorum n_valides≥q·n_admissibles ; accepter si Σb_i/n_valides≥τ, avec abstentions déclarées.","biologicalInspiration":"A biocenosis is a community of interacting species. GenOS borrows plurality and interaction for collective review, while votes are software decisions.","biologicalInspirationFr":"Une biocénose est une communauté d'espèces en interaction. GenOS reprend la pluralité pour la revue collective, tandis que les votes restent logiciels.","literatureMechanisms":["brier-calibration","byzantine-agreement"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/biocenoseService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biocenoseService.js"},{"path":"backend/src/services/biocenose/judgment/promotionGateService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biocenose/judgment/promotionGateService.js"},{"path":"backend/tests/test_biocenose_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biocenose_runtime.js"},{"path":"backend/tests/test_biocenose_consensus_receipt_integration.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biocenose_consensus_receipt_integration.js"},{"path":"docs/06-qualite-preuves/missions-live-biocenose-sqlite-2026-10-04.md","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/docs/06-qualite-preuves/missions-live-biocenose-sqlite-2026-10-04.md"}],"related":["beliefs","brier-calibration","evidence"],"source":"02-orchestration/topologies/biocenose.md","routes":{"en":"/en/concepts/biocenose","fr":"/fr/concepts/biocenose"}},{"id":"holobionte","title":"Holobiont","titleFr":"Holobionte","definition":"A host composes specialist symbionts under capability, resource, lifecycle, and execution contracts.","definitionFr":"Un holobionte biologique associe hôte et organismes liés. GenOS utilise l'image pour un hôte qui compose des services spécialisés sous contrat.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A holobiont is a host together with associated organisms. GenOS uses the term for a host coordinating specialist services; software workers are not symbionts in the biological sense.","scienceFr":"Un holobionte biologique associe hôte et organismes liés. GenOS utilise l'image pour un hôte qui compose des services spécialisés sous contrat.","mathematicalModel":"A host H composes services S_i only when capability and resource contracts hold: required(H)⊆provided(S) and Σ cost(S_i)≤budget(H).","mathematicalModelFr":"L'hôte H admet services S_i si besoins(H)⊆capacités(S) et Σcoût(S_i)≤budget(H).","biologicalInspiration":"A holobiont combines a host and associated organisms. GenOS models a host composed with specialist services under explicit contracts.","biologicalInspirationFr":"Un holobionte associe un hôte et des organismes liés. GenOS modélise un hôte composé de services spécialisés sous contrats explicites.","literatureMechanisms":["biological-homeostasis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/holobionteService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/holobionteService.js"},{"path":"backend/src/services/holobionteCoordinationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/holobionteCoordinationService.js"},{"path":"backend/tests/test_holobionte_local_engine.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_holobionte_local_engine.js"},{"path":"backend/tests/test_holobionte_wiring.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_holobionte_wiring.js"}],"related":["symbionts","immune-system","metabolism"],"source":"02-orchestration/topologies/holobionte.md","routes":{"en":"/en/concepts/holobionte","fr":"/fr/concepts/holobionte"}},{"id":"syncytium","title":"Syncytium","titleFr":"Syncytium","definition":"Members coordinate around shared, versioned state with merge operations and invariant checks.","definitionFr":"Un syncytium biologique est une structure cellulaire fusionnée. La topologie GenOS partage plutôt un état versionné entre workers.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological syncytia are multinucleate cells or fused cell structures. The runtime topology instead shares versioned state among workers; a common state store is a software coordination choice.","scienceFr":"Un syncytium biologique est une structure cellulaire fusionnée. La topologie GenOS partage plutôt un état versionné entre workers.","mathematicalModel":"Workers read version v and propose updates Δ_i. A merge operation M(v,Δ_1,…,Δ_n) must either preserve invariants or return a conflict for review.","mathematicalModelFr":"Les workers lisent version v et proposent Δ_i ; fusion M(v,Δ_1,…,Δ_n) préserve les invariants ou renvoie un conflit.","biologicalInspiration":"A biological syncytium shares cellular material across fused cells. GenOS borrows shared state, but uses versioned software data and explicit merge rules.","biologicalInspirationFr":"Un syncytium partage du matériel cellulaire entre cellules fusionnées. GenOS reprend l'état partagé avec des données versionnées et des règles de fusion.","literatureMechanisms":["distributed-ordering"],"useCases":["Evaluate shared-state work where replicas may accept concurrent operations.","Reject a merged state that violates an application-level invariant."],"failureModes":["Unsupported operations may not converge.","Eventual delivery and replica assumptions can be violated.","Convergence does not imply business invariants or correct decisions."],"codeSources":[{"path":"backend/src/services/syncytiumService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/syncytiumService.js"},{"path":"backend/src/services/syncytiumCrdtService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/syncytiumCrdtService.js"},{"path":"backend/tests/test_syncytium_wiring.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_syncytium_wiring.js"}],"related":["shared-state","evidence","morphogenesis"],"source":"02-orchestration/topologies/syncytium.md","routes":{"en":"/en/concepts/syncytium","fr":"/fr/concepts/syncytium"}},{"id":"rhizome","title":"Rhizome","titleFr":"Rhizome","definition":"A persisted capability graph with callable bounded multi-hop routing, local traces, and evidence-gated growth services.","definitionFr":"Le rhizome est une métaphore botanique et philosophique des connexions non hiérarchiques. Le runtime reste un graphe explicite de capacités et permissions.","family":"orchestration","implementation":"implemented","integration":"end-to-end","evidence":"end-to-end-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Rhizome is a philosophical and botanical metaphor for non-hierarchical connections. A runtime graph still has explicit nodes, edges, permissions, and routing constraints.","scienceFr":"Le rhizome est une métaphore botanique et philosophique des connexions non hiérarchiques. Le runtime reste un graphe explicite de capacités et permissions.","mathematicalModel":"Given a revisioned graph G=(V,E), the callable topology-session route operation plans eligible multi-hop paths under configured hop, cost, and trust limits; deterministic scoring ranks candidates. Reachability does not itself prove provider startup or mission success.","mathematicalModelFr":"Pour graphe G=(V,E), chercher un chemin admissible sous bornes de sauts, coût et confiance ; la joignabilité ne prouve pas le succès.","biologicalInspiration":"Plant rhizomes spread through connected underground stems. The software analogy motivates a distributed capability graph, not botanical growth.","biologicalInspirationFr":"Les rhizomes végétaux s'étendent par tiges souterraines reliées. L'analogie motive un graphe distribué de capacités, non une croissance botanique.","literatureMechanisms":["stigmergy"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/rhizomeCoordinationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/rhizomeCoordinationService.js"},{"path":"backend/src/services/rhizome/runtime/rhizomeRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/rhizome/runtime/rhizomeRuntime.js"},{"path":"backend/src/services/rhizome/routing/routePlanner.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/rhizome/routing/routePlanner.js"},{"path":"backend/tests/test_rhizome_growth_routing_e2e.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_rhizome_growth_routing_e2e.js"},{"path":"backend/tests/test_rhizome_wiring.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_rhizome_wiring.js"}],"related":["agent-relationships","stigmergy","worker-kinds"],"source":"02-orchestration/topologies/rhizome.md","routes":{"en":"/en/concepts/rhizome","fr":"/fr/concepts/rhizome"}},{"id":"metapopulation","title":"Metapopulation","titleFr":"Métapopulation","definition":"Semi-independent demes exchange typed propagules over directed corridors, with receiver validation, verified migration cycles, and gated recolonization.","definitionFr":"Une métapopulation biologique relie des populations locales par dispersion, extinction et recolonisation. Les régions logicielles sont des abstractions.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Metapopulation ecology studies local populations connected by dispersal and subject to local extinction and recolonization. Software regions and migration rules are abstractions, not biological populations.","scienceFr":"Une métapopulation biologique relie des populations locales par dispersion, extinction et recolonisation. Les régions logicielles sont des abstractions.","mathematicalModel":"For regions i, occupancy z_i∈{0,1} changes via colonization c_i and extinction e_i; software recovery policies should report their own transition rules and evidence.","mathematicalModelFr":"Occupation z_i∈{0,1} varie selon colonisation c_i et extinction e_i ; déclarer règles de migration et preuves de reprise.","biologicalInspiration":"Ecological metapopulations connect local groups through dispersal and recolonization. GenOS uses typed migration among software regions under policy.","biologicalInspirationFr":"Les métapopulations écologiques relient des groupes locaux par dispersion et recolonisation. GenOS applique des migrations typées entre régions logicielles.","literatureMechanisms":["metapopulation"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/metapopulationCoordinationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/metapopulationCoordinationService.js"},{"path":"backend/tests/test_metapopulation_wiring.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_metapopulation_wiring.js"},{"path":"backend/tests/test_metapopulation_variants_runtime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_metapopulation_variants_runtime.js"}],"related":["populations","evolution-selection","resilience"],"source":"02-orchestration/topologies/metapopulation.md","routes":{"en":"/en/concepts/metapopulation","fr":"/fr/concepts/metapopulation"}},{"id":"biome","title":"Biome","titleFr":"Biome","definition":"Eleven variants share a bounded transactional ecology loop with persistent niches, measured resource use, authorized adapters and independent verification gates.","definitionFr":"Un biome écologique combine niches, ressources et populations. GenOS modélise une allocation bornée, sans écosystème autonome complet.","family":"orchestration","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Ecological biomes combine niches, resources and interacting populations. GenOS models a bounded resource and niche allocation; its caller-invoked operations are not an autonomous ecosystem.","scienceFr":"Un biome écologique combine niches, ressources et populations. GenOS modélise une allocation bornée, sans écosystème autonome complet.","mathematicalModel":"For niches i with demand d_i and allocation a_i, require a_i≥0 and Σ_i a_i≤B. Report unmet demand max(0,d_i−a_i) before changing placement.","mathematicalModelFr":"Pour chaque niche i, demande d_i et allocation a_i≥0 avec Σ_i a_i≤B. Besoin non servi = max(0,d_i−a_i).","biologicalInspiration":"Biomes contain niches and resource relationships. GenOS borrows niche allocation and pressure accounting, without autonomous ecological dynamics.","biologicalInspirationFr":"Les biomes contiennent niches et relations de ressources. GenOS reprend allocation et pression, sans dynamique écologique autonome complète.","literatureMechanisms":["ecosystem","foraging"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/biome/biomeRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biome/biomeRuntime.js"},{"path":"backend/src/services/biome/runtime/ecologicalCycle.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biome/runtime/ecologicalCycle.js"},{"path":"backend/tests/test_biome_cycle_restart.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biome_cycle_restart.js"},{"path":"backend/tests/test_biome_mcp_execution_restart.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biome_mcp_execution_restart.js"},{"path":"backend/tests/test_biome_mission_loop.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biome_mission_loop.js"}],"related":["niches","metabolism","web-foraging"],"source":"02-orchestration/topologies/biome.md","routes":{"en":"/en/concepts/biome","fr":"/fr/concepts/biome"}},{"id":"mutation","title":"Mutation","titleFr":"Mutation","definition":"Rust operations change genome data models; MCP biomimicry mutation handlers update scenario registries and do not change an active agent’s AgentDNA.","definitionFr":"Une mutation biologique modifie une séquence héréditaire. GenOS modifie des modèles de génome ou des registres simulés, sans changer automatiquement un agent actif.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological mutation changes heritable sequence through physical processes. GenOS uses the word both for operations on genome data models and for MCP biomimicry handlers. Those handlers update simulation registries; they do not alter active AgentDNA or runtime behavior. Validation and lineage rules are software controls, not biological mutation mechanisms.","scienceFr":"Une mutation biologique modifie une séquence héréditaire. GenOS modifie des modèles de génome ou des registres simulés, sans changer automatiquement un agent actif.","mathematicalModel":"A candidate variation can be represented as θ′=θ+ε followed by schema validation and an acceptance predicate. Distribution ε and admissibility rules are implementation choices.","mathematicalModelFr":"Variation candidate θ′=θ+ε suivie de validation du schéma et d'un prédicat d'acceptation déclaré.","biologicalInspiration":"Biological mutation creates heritable variation. GenOS models candidate changes to versioned traits, subject to software validation and authorization.","biologicalInspirationFr":"La mutation biologique crée une variation héritable. GenOS modélise des changements candidats de traits versionnés sous validation et autorisation.","literatureMechanisms":["selection"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/mutation_scales.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/mutation_scales.rs"},{"path":"crates/genos-genome/src/mutation_scales_tests.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/mutation_scales_tests.rs"}],"related":["genome","evolution-selection","agent-dna"],"source":"01-concepts/genome-et-epigenetique.md","routes":{"en":"/en/concepts/mutation","fr":"/fr/concepts/mutation"}},{"id":"evolution-selection","title":"Selection","titleFr":"Sélection","definition":"A policy for comparing candidates and retaining outcomes under explicit criteria.","definitionFr":"La théorie évolutionnaire étudie des stratégies dont le succès dépend de la fréquence. La sélection logicielle suit des objectifs et contraintes choisis.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Evolutionary game theory studies frequency-dependent strategies and conditions for evolutionary stability. Software candidate selection is governed by chosen objectives and constraints; it is not natural selection and does not guarantee adaptation.","scienceFr":"La théorie évolutionnaire étudie des stratégies dont le succès dépend de la fréquence. La sélection logicielle suit des objectifs et contraintes choisis.","mathematicalModel":"For strategy i with payoff fᵢ(x), replicator dynamics use ẋᵢ=xᵢ(fᵢ(x)−f̄(x)). A software selection pipeline may instead be discrete and policy constrained.","mathematicalModelFr":"Dynamique réplicatrice ẋ_i=x_i(f_i(x)−f̄(x)) comme modèle théorique ; GenOS peut appliquer une sélection discrète gouvernée.","biologicalInspiration":"Evolution changes population composition through variation and differential reproduction. GenOS selection is an authored, evidence-gated choice among software candidates.","biologicalInspirationFr":"L'évolution modifie les populations par variation et reproduction différentielle. La sélection GenOS est un choix gouverné entre candidats logiciels.","literatureMechanisms":["selection"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/fitness.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/fitness.rs"},{"path":"crates/genos-genome/src/reproduction.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/reproduction.rs"},{"path":"crates/genos-genome/src/genome_tests.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/genome_tests.rs"}],"related":["mutation","reproduction","trinity"],"source":"02-orchestration/reproduction-et-replication.md","routes":{"en":"/en/concepts/evolution-selection","fr":"/fr/concepts/evolution-selection"}},{"id":"plasmids","title":"Plasmids","titleFr":"Plasmides","definition":"Transferable capability packages that can be acquired, checked, and applied under runtime rules.","definitionFr":"Les plasmides bactériens sont des éléments génétiques mobiles qui transportent des traits. GenOS transpose l'idée à un paquet de capacité soumis à compatibilité et autorisation.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Bacterial plasmids are mobile genetic elements that can carry traits between cells. A GenOS plasmid is a transferable capability package; transfer requires compatibility and authority checks.","scienceFr":"Les plasmides bactériens sont des éléments génétiques mobiles qui transportent des traits. GenOS transpose l'idée à un paquet de capacité soumis à compatibilité et autorisation.","mathematicalModel":"Transfer package p from donor d to recipient r only if schema(p), compatible(p,r), authorized(d,r,p) and budget constraints all hold.","mathematicalModelFr":"Transférer p de d vers r si schéma(p), compatible(p,r), autorisé(d,r,p) et budget sont tous satisfaits.","biologicalInspiration":"Plasmids can transfer genetic traits between bacteria. GenOS borrows the package-and-transfer structure for capabilities, with explicit compatibility checks.","biologicalInspirationFr":"Les plasmides peuvent transférer des traits génétiques entre bactéries. GenOS reprend le paquet transférable avec contrôle de compatibilité.","literatureMechanisms":["mobile-genetic-elements"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/plasmid_v2.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/plasmid_v2.rs"},{"path":"crates/genos-genome/src/reproduction.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/reproduction.rs"}],"related":["horizontal-transfer","genome","symbionts"],"source":"adr/0108-cycle-de-vie-plasmidique.md","routes":{"en":"/en/concepts/plasmids","fr":"/fr/concepts/plasmids"}},{"id":"horizontal-transfer","title":"Horizontal transfer","titleFr":"Transfert horizontal","definition":"A governed transfer of capabilities or artifacts between agent lineages.","definitionFr":"Le transfert horizontal de gènes passe entre lignées sans filiation parent-enfant. GenOS en retient la structure pour déplacer une capacité logicielle gouvernée.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Horizontal gene transfer moves genetic material outside parent-to-offspring inheritance. Here it is a governed movement of a software capability or artifact between lineages.","scienceFr":"Le transfert horizontal de gènes passe entre lignées sans filiation parent-enfant. GenOS en retient la structure pour déplacer une capacité logicielle gouvernée.","mathematicalModel":"Lineage update L_r′=admit(L_r,p) only if provenance(p)=L_d and compatibility, validation and authority gates pass.","mathematicalModelFr":"Lignée receveuse L_r′=admettre(L_r,p) si provenance(p)=L_d et si compatibilité, validation et autorité sont vérifiées.","biologicalInspiration":"Horizontal gene transfer moves material outside direct descent. GenOS borrows the cross-lineage transfer pattern for governed artifacts and capabilities.","biologicalInspirationFr":"Le transfert horizontal de gènes passe hors filiation directe. GenOS reprend ce trajet entre lignées pour des capacités gouvernées.","literatureMechanisms":["mobile-genetic-elements"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/plasmid_v2.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/plasmid_v2.rs"},{"path":"crates/genos-genome/src/reproduction.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/reproduction.rs"}],"related":["plasmids","reproduction","evidence"],"source":"adr/0108-cycle-de-vie-plasmidique.md","routes":{"en":"/en/concepts/horizontal-transfer","fr":"/fr/concepts/horizontal-transfer"}},{"id":"swarm-intelligence","title":"Swarm intelligence","titleFr":"Intelligence en essaim","definition":"Local coordination and optimization patterns implemented as bounded organization steps.","definitionFr":"Des règles d'interaction locales peuvent produire un comportement collectif. Le graphe, les délais et l'environnement déterminent les résultats.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Distributed agents can produce group patterns through local interaction rules. Such patterns depend on the communication graph, update schedule, environment, and boundary conditions; collective behavior alone does not establish intelligence or robustness.","scienceFr":"Des règles d'interaction locales peuvent produire un comportement collectif. Le graphe, les délais et l'environnement déterminent les résultats.","mathematicalModel":"A basic consensus update is xᵢ(t+1)=Σⱼ aᵢⱼxⱼ(t), where weights aᵢⱼ are nonnegative and sum to one. Convergence requires graph and update assumptions that must be checked for the actual system.","mathematicalModelFr":"Consensus simple x_i(t+1)=Σ_j a_ij x_j(t), poids non négatifs de somme 1 ; convergence sous hypothèses du graphe.","biologicalInspiration":"Flocks and swarms can exhibit group patterns from local rules. GenOS borrows decentralized interaction, whose actual performance needs measurement.","biologicalInspirationFr":"Volées et essaims peuvent produire un motif global par règles locales. GenOS reprend cette interaction décentralisée, à évaluer empiriquement.","literatureMechanisms":["swarm"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/swarmTopologyAlgorithms.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/swarmTopologyAlgorithms.js"},{"path":"backend/src/grpc_services/swarmService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/grpc_services/swarmService.js"}],"related":["stigmergy","dynamic-organizations","populations"],"source":"01-concepts/intelligence-de-nuee.md","routes":{"en":"/en/concepts/swarm-intelligence","fr":"/fr/concepts/swarm-intelligence"}},{"id":"stigmergy","title":"Stigmergy","titleFr":"Stigmergie","definition":"Coordination through traces deposited in a shared environment and read by later work.","definitionFr":"La stigmergie coordonne par des modifications de l'environnement, observée dans la construction de nids de termites. Les traces logicielles n'en sont qu'une analogie.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Stigmergy describes coordination mediated by modifications to a shared environment, first studied in termite nest construction. Software traces offer an analogy; correctness depends on access, freshness, attribution, and conflict handling.","scienceFr":"La stigmergie coordonne par des modifications de l'environnement, observée dans la construction de nids de termites. Les traces logicielles n'en sont qu'une analogie.","mathematicalModel":"A trace field can be modeled as τₓ(t+1)=(1−ρ)τₓ(t)+Δₓ(t), with evaporation rate ρ and deposited signal Δ. This is a candidate design equation, not a claim about every stigmergic system.","mathematicalModelFr":"Champ de trace τ_x(t+1)=(1−ρ)τ_x(t)+Δ_x(t), avec évaporation ρ et dépôt Δ.","biologicalInspiration":"Termites can coordinate through environmental traces. Software traces similarly carry signals, but need freshness, provenance and conflict controls.","biologicalInspirationFr":"Des termites se coordonnent par traces dans l'environnement. Les traces logicielles exigent fraîcheur, provenance et gestion des conflits.","literatureMechanisms":["stigmergy"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/biome/environmentalMemory/stigmergicRoutingService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biome/environmentalMemory/stigmergicRoutingService.js"},{"path":"backend/tests/epistemic_stigmergy_test.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/epistemic_stigmergy_test.js"}],"related":["rhizome","swarm-intelligence","communication-ecology"],"source":"01-concepts/intelligence-de-nuee.md","routes":{"en":"/en/concepts/stigmergy","fr":"/fr/concepts/stigmergy"}},{"id":"niches","title":"Niches","titleFr":"Niches","definition":"Declared regions of a search or work environment associated with resources and specialized capabilities.","definitionFr":"Une niche écologique associe conditions et rôle d'une espèce. L'analogie partitionne les contextes de travail selon ressources et capacités pertinentes.","family":"evolution-ecology","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"An ecological niche describes a species' environmental conditions and role. The software analogy partitions work contexts by resource availability and suitable capabilities.","scienceFr":"Une niche écologique associe conditions et rôle d'une espèce. L'analogie partitionne les contextes de travail selon ressources et capacités pertinentes.","mathematicalModel":"For task t and niche n, fit F(t,n)=compatible(capability_n,requirements_t) subject to resource_n≥cost_t; compare measured outcomes separately.","mathematicalModelFr":"Adéquation F(t,n)=compatible(capacités_n,besoins_t) sous contrainte ressources_n≥coût_t ; mesurer ensuite le résultat.","biologicalInspiration":"An ecological niche links a species' role to environmental conditions. GenOS borrows task–capability matching under resource constraints.","biologicalInspirationFr":"Une niche écologique relie rôle d'une espèce et conditions du milieu. GenOS reprend l'adéquation tâche-capacité sous ressources bornées.","literatureMechanisms":["ecological-niche"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/niches.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/niches.rs"},{"path":"backend/src/services/biome/biomeRuntime.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biome/biomeRuntime.js"},{"path":"backend/tests/test_biome_cycle_variants.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biome_cycle_variants.js"},{"path":"backend/tests/test_biome_cycle_restart.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_biome_cycle_restart.js"}],"related":["biome","populations","web-foraging"],"source":"01-concepts/natural-creative-ecology.md","routes":{"en":"/en/concepts/niches","fr":"/fr/concepts/niches"}},{"id":"populations","title":"Populations","titleFr":"Populations","definition":"Groups of agents or candidate solutions whose composition can change under explicit policies.","definitionFr":"Les modèles de population suivent la composition et la variation des groupes. Les populations runtime exigent règles de membres, échantillonnage et cycle de vie.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Population models track composition and change across groups. Runtime populations are collections of workers or candidate solutions and require explicit membership, sampling, and lifecycle rules.","scienceFr":"Les modèles de population suivent la composition et la variation des groupes. Les populations runtime exigent règles de membres, échantillonnage et cycle de vie.","mathematicalModel":"A population state x=(x₁,…,xₙ) records group proportions or counts. Transition rules x′=T(x, environment, policy) should conserve declared totals or explain additions and removals.","mathematicalModelFr":"État x=(x_1,…,x_n) et transition x′=T(x,environnement,politique), avec conservation des totaux déclarés.","biologicalInspiration":"Population ecology tracks groups through births, losses and movement. GenOS tracks candidate or worker groups with explicit membership and transitions.","biologicalInspirationFr":"L'écologie des populations suit naissances, pertes et déplacements. GenOS suit des groupes de candidats ou workers avec règles explicites.","literatureMechanisms":["selection"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/metapopulationCoordinationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/metapopulationCoordinationService.js"}],"related":["metapopulation","evolution-selection","mutation"],"source":"01-concepts/intelligence-de-nuee.md","routes":{"en":"/en/concepts/populations","fr":"/fr/concepts/populations"}},{"id":"cryptobiosis","title":"Cryptobiosis & dormancy","titleFr":"Cryptobiose et dormance","definition":"A bounded suspended state that preserves continuity until an explicit resume condition is met.","definitionFr":"La cryptobiose réduit fortement l'activité métabolique dans certaines conditions. GenOS transpose l'idée à une dormance explicite avec état préservé et réveil contrôlé.","family":"evolution-ecology","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Cryptobiosis is a biological state with greatly reduced detectable metabolism during stress. The software analogy is explicit dormancy with preserved state and a guarded wake condition, not suspended life.","scienceFr":"La cryptobiose réduit fortement l'activité métabolique dans certaines conditions. GenOS transpose l'idée à une dormance explicite avec état préservé et réveil contrôlé.","mathematicalModel":"State transition active→dormant requires stress≥τ and a durable checkpoint. dormant→active requires wake predicate W(state,event)=true and valid ownership.","mathematicalModelFr":"Transition actif→dormant si stress≥τ et checkpoint durable ; dormant→actif si W(état,événement)=vrai et propriété valide.","biologicalInspiration":"Some organisms survive stress in a low-activity state. GenOS borrows dormancy and guarded resumption for persisted software state, not latent life.","biologicalInspirationFr":"Certains organismes survivent au stress avec une activité très réduite. GenOS reprend dormance et reprise gardée pour l'état logiciel, non la vie latente.","literatureMechanisms":["biological-dormancy"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/cryptobiosisSporeService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/cryptobiosisSporeService.js"},{"path":"backend/tests/test_cryptobiosis_spore_vitrification.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_cryptobiosis_spore_vitrification.js"}],"related":["ontogenese","resilience","episodic-memory"],"source":"01-concepts/continuite-mission.md","routes":{"en":"/en/concepts/cryptobiosis","fr":"/fr/concepts/cryptobiosis"}},{"id":"natural-creative-ecology","title":"Natural creative ecology","titleFr":"Écologie créative naturelle","definition":"A model of open-ended search through recombination, exploration, plasticity, and selection.","definitionFr":"La recherche évolutionnaire combine variation, héritage et sélection sous contraintes. Une mesure de nouveauté favorise l'exploration sans garantir une innovation utile.","family":"evolution-ecology","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Evolutionary search combines variation, inheritance and selection under environmental constraints. Novelty search adds a declared diversity objective; neither guarantees useful innovation.","scienceFr":"La recherche évolutionnaire combine variation, héritage et sélection sous contraintes. Une mesure de nouveauté favorise l'exploration sans garantir une innovation utile.","mathematicalModel":"For candidate x, score J(x)=quality(x)+λ·novelty(x) subject to safety and budget constraints. Selection uses measured outcomes, not novelty alone.","mathematicalModelFr":"Score candidat J(x)=qualité(x)+λ·nouveauté(x) sous contraintes de sécurité et budget ; sélectionner sur résultats mesurés.","biologicalInspiration":"Evolutionary systems explore variation under selection; ecological niches can preserve diversity. GenOS borrows exploration and diversity objectives with explicit evaluation gates.","biologicalInspirationFr":"Les systèmes évolutifs explorent des variations et les niches peuvent préserver la diversité. GenOS reprend exploration et diversité sous contrôle des résultats.","literatureMechanisms":["selection"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/nceCausalCycleService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/nceCausalCycleService.js"},{"path":"backend/src/services/nceAblationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/nceAblationService.js"},{"path":"backend/tests/test_nce_native_cycle.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_nce_native_cycle.js"},{"path":"backend/tests/test_nce_executed_ablation.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_nce_executed_ablation.js"}],"related":["mutation","evolution-selection","memory-fossilization"],"source":"01-concepts/natural-creative-ecology.md","routes":{"en":"/en/concepts/natural-creative-ecology","fr":"/fr/concepts/natural-creative-ecology"}},{"id":"sensorium","title":"Sensorium","titleFr":"Sensorium","definition":"Runtime structures for observations and perception signals, with boundaries between simulated and real inputs.","definitionFr":"La perception animale combine plusieurs modalités avec incertitude. Le sensorium GenOS est une interface d'observations typées où simulation et mesure restent distinctes.","family":"physiology-perception","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Animal perception integrates multiple sensory streams under attention and uncertainty. GenOS sensorium is a typed observation interface; simulated and measured inputs must stay distinguishable.","scienceFr":"La perception animale combine plusieurs modalités avec incertitude. Le sensorium GenOS est une interface d'observations typées où simulation et mesure restent distinctes.","mathematicalModel":"Observation o=(modality,value,time,source,uncertainty). Fusion F({o_i}) may occur only for compatible scope and time windows, with provenance retained.","mathematicalModelFr":"Observation o=(modalité,valeur,temps,source,incertitude). Fusion F({o_i}) seulement pour portée et temps compatibles, avec provenance.","biologicalInspiration":"Animal senses collect modality-specific signals. GenOS borrows the separation of sources, quality and fusion, while exposing only software observations.","biologicalInspirationFr":"Les sens animaux recueillent des signaux propres à chaque modalité. GenOS reprend séparation des sources, qualité et fusion d'observations logicielles.","literatureMechanisms":["embodied-control"],"useCases":[],"failureModes":[],"codeSources":[],"related":["web-foraging","foveation","animal-senses"],"source":"01-concepts/organes-vitaux-agents.md","routes":{"en":"/en/concepts/sensorium","fr":"/fr/concepts/sensorium"}},{"id":"metabolism","title":"Metabolism","titleFr":"Métabolisme","definition":"Resource accounting and allocation rules that constrain the work an agent can perform.","definitionFr":"Le métabolisme biologique transforme matière et énergie. GenOS emploie ce mot pour la comptabilité et l'allocation de ressources.","family":"physiology-perception","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological metabolism comprises coupled biochemical pathways that transform matter and energy. GenOS metabolism denotes resource accounting and allocation; it does not model cellular physiology.","scienceFr":"Le métabolisme biologique transforme matière et énergie. GenOS emploie ce mot pour la comptabilité et l'allocation de ressources.","mathematicalModel":"For resource budget B, allocation aᵢ≥0 must satisfy Σᵢaᵢ≤B. Usage, reservations, refunds, and units must be defined by the runtime contract.","mathematicalModelFr":"Pour budget B, allocations a_i≥0 avec Σ_i a_i≤B ; définir unités, réservations et remboursements.","biologicalInspiration":"Organisms allocate energy and material to competing functions. GenOS borrows resource accounting for compute and budgets, not biochemical pathways.","biologicalInspirationFr":"Les organismes répartissent énergie et matière entre fonctions. GenOS reprend la comptabilité des ressources de calcul, non les voies biochimiques.","literatureMechanisms":["biological-homeostasis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/metabolism/metabolicStateService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/metabolism/metabolicStateService.js"},{"path":"backend/src/services/metabolism/metabolicPressureService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/metabolism/metabolicPressureService.js"}],"related":["biome","homeostasis","attention"],"source":"adr/0055-plan-metabolique-ressources-holobionte.md","routes":{"en":"/en/concepts/metabolism","fr":"/fr/concepts/metabolism"}},{"id":"homeostasis","title":"Homeostasis & allostasis","titleFr":"Homéostasie et allostasie","definition":"Target regulation and anticipatory adjustment under changing conditions and declared bounds.","definitionFr":"L'homéostasie régule autour d'une plage viable. Un garde de ressources emprunte la boucle de rétroaction sans modéliser une physiologie.","family":"physiology-perception","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Homeostasis concerns regulation around viable ranges; allostasis describes anticipatory adjustment. Runtime resource guards can borrow feedback-control ideas without constituting a physiological model.","scienceFr":"L'homéostasie régule autour d'une plage viable. Un garde de ressources emprunte la boucle de rétroaction sans modéliser une physiologie.","mathematicalModel":"A bounded controller observes error eₜ=r−yₜ and adjusts uₜ subject to u_min≤uₜ≤u_max. Stability depends on the plant, delay, gain, and saturation behavior.","mathematicalModelFr":"Erreur e_t=r−y_t et ajustement u_t sous u_min≤u_t≤u_max ; stabilité selon délais, gains et saturation.","biologicalInspiration":"Physiology regulates variables within viable ranges. GenOS borrows feedback and bounds for resource control, whose stability requires software tests.","biologicalInspirationFr":"La physiologie régule des variables dans des plages viables. GenOS reprend rétroaction et bornes pour les ressources, avec stabilité à tester.","literatureMechanisms":["biological-homeostasis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/homeostasisAuthorityStore.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/homeostasisAuthorityStore.js"},{"path":"backend/src/services/homeostasisExecutionEvidence.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/homeostasisExecutionEvidence.js"},{"path":"backend/src/services/homeostasisClosureService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/homeostasisClosureService.js"},{"path":"backend/tests/test_homeostasis_durable_authority.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_homeostasis_durable_authority.js"}],"related":["metabolism","resilience","instinct"],"source":"adr/0065-homeostasie-environnement-hote.md","routes":{"en":"/en/concepts/homeostasis","fr":"/fr/concepts/homeostasis"}},{"id":"resilience","title":"Resilience & recovery","titleFr":"Résilience et reprise","definition":"Recovery planning and bounded continuation after a failure, loss, or interruption.","definitionFr":"La résilience concerne le rétablissement après perturbation. En logiciel, elle exige une mesure de service restauré sous faute et budget déclarés.","family":"physiology-perception","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Resilience research studies recovery after disturbance. In software it requires measured service restoration under a declared fault and recovery budget; mere retrying is not proof of resilience.","scienceFr":"La résilience concerne le rétablissement après perturbation. En logiciel, elle exige une mesure de service restauré sous faute et budget déclarés.","mathematicalModel":"For quality Q(t), baseline Q0 and disturbance at t0, recovery time T_r=inf{t≥t0:Q(t)≥q_min}. Report fault conditions and incomplete recovery.","mathematicalModelFr":"Pour qualité Q(t) et perturbation à t0, temps de reprise T_r=inf{t≥t0:Q(t)≥q_min}. Déclarer faute et reprise incomplète.","biologicalInspiration":"Living systems may recover function after disturbance. The software analogy motivates measurable recovery time and residual quality under declared faults.","biologicalInspirationFr":"Des systèmes vivants peuvent récupérer une fonction après perturbation. L'analogie motive des mesures de reprise et de qualité résiduelle.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/resilience/resilienceStateService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/resilience/resilienceStateService.js"},{"path":"backend/src/services/resilience/recoveryPlannerService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/resilience/recoveryPlannerService.js"}],"related":["metapopulation","cryptobiosis","ontogenese"],"source":"04-exploitation/resilience-et-reprise.md","routes":{"en":"/en/concepts/resilience","fr":"/fr/concepts/resilience"}},{"id":"development","title":"Development","titleFr":"Développement","definition":"A staged process for changing an agent or project while retaining lineage, constraints, and evidence.","definitionFr":"Le développement biologique transforme forme et fonction par étapes régulées. Une lignée logicielle reprend l'idée comme automate explicite, sans ontogenèse vivante.","family":"physiology-perception","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological development changes form and function across stages through regulated processes. A software lineage can use staged transitions, but this is an authored state machine rather than organismal ontogeny.","scienceFr":"Le développement biologique transforme forme et fonction par étapes régulées. Une lignée logicielle reprend l'idée comme automate explicite, sans ontogenèse vivante.","mathematicalModel":"For stages s_i, permit transition s_i→s_j only when guard g_ij(state,evidence)=true; preserve lineage and invariants across the transition.","mathematicalModelFr":"Transition s_i→s_j si garde g_ij(état,preuves)=vrai, avec préservation de la lignée et des invariants.","biologicalInspiration":"Organismal development follows regulated stages with lineage continuity. GenOS borrows stage transitions while retaining explicit software identity and evidence.","biologicalInspirationFr":"Le développement d'un organisme suit des étapes régulées avec continuité de lignée. GenOS reprend les transitions tout en gardant identité et preuves explicites.","literatureMechanisms":["biological-morphogenesis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-genome/src/development.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/development.rs"},{"path":"crates/genos-genome/src/developmental.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/developmental.rs"},{"path":"crates/genos-genome/src/genome_tests.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-genome/src/genome_tests.rs"}],"related":["genome","gvx","ontogenese"],"source":"01-concepts/ontogenese.md","routes":{"en":"/en/concepts/development","fr":"/fr/concepts/development"}},{"id":"symbionts","title":"Symbionts","titleFr":"Symbiontes","definition":"Specialist services composed by a host under explicit capability and execution contracts.","definitionFr":"La symbiose désigne une interaction durable entre organismes, bénéfique ou non. Les symbiotes GenOS sont des services spécialisés admis sous contrat.","family":"physiology-perception","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Symbiosis describes sustained interactions between different organisms that may benefit or harm participants. Software specialists are admitted services, not living symbionts; their contribution must be measured.","scienceFr":"La symbiose désigne une interaction durable entre organismes, bénéfique ou non. Les symbiotes GenOS sont des services spécialisés admis sous contrat.","mathematicalModel":"Host H admits service S only if capability(S)⊇required(H), cost(S)≤remaining budget and lifecycle policy permits attachment.","mathematicalModelFr":"L'hôte H admet S si capacité(S)⊇besoin(H), coût(S)≤budget restant et cycle de vie autorisé.","biologicalInspiration":"Biological symbiosis links different organisms over time. GenOS borrows host–specialist composition, with measured contribution and bounded contracts.","biologicalInspirationFr":"La symbiose relie durablement des organismes différents. GenOS reprend la composition hôte-spécialiste sous contrats bornés et apports mesurés.","literatureMechanisms":["biological-homeostasis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/holobionteCoordinationService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/holobionteCoordinationService.js"},{"path":"backend/src/services/symbioteRuntimeService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/symbioteRuntimeService.js"}],"related":["holobionte","resident-daemons","plasmids"],"source":"adr/0079-daemons-symbiontes-residents.md","routes":{"en":"/en/concepts/symbionts","fr":"/fr/concepts/symbionts"}},{"id":"web-foraging","title":"Web foraging","titleFr":"Exploration web par recherche de ressources","definition":"A resource-selection calculation for web exploration; it is not by itself a continuous browser controller.","definitionFr":"Le théorème de valeur marginale explique quand un chercheur idéal quitte une source aux rendements décroissants. Une recherche web exige ses propres mesures.","family":"physiology-perception","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The marginal value theorem models when an idealized forager should leave a resource patch as returns diminish. A web-search policy may borrow the decision structure, but web information quality and cost need separate measurements.","scienceFr":"Le théorème de valeur marginale explique quand un chercheur idéal quitte une source aux rendements décroissants. Une recherche web exige ses propres mesures.","mathematicalModel":"Leave a patch when its marginal gain rate falls to the environment-wide average gain rate, under the theorem's assumptions. A runtime must define gain, travel cost, and stopping budget explicitly.","mathematicalModelFr":"Quitter une source quand son gain marginal atteint le gain moyen du milieu, après définition du gain, coût de déplacement et budget.","biologicalInspiration":"Foraging theory models when to exploit or leave a resource patch. GenOS borrows this stopping structure for web search under quality and cost limits.","biologicalInspirationFr":"La théorie de recherche de nourriture modélise quand exploiter ou quitter une source. GenOS reprend cette règle d'arrêt pour la recherche web bornée.","literatureMechanisms":["foraging"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/biome/foraging/ecologicalForagingController.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biome/foraging/ecologicalForagingController.js"},{"path":"backend/src/services/foragingLoopService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/foragingLoopService.js"},{"path":"backend/tests/test_foraging_closed_loop.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_foraging_closed_loop.js"}],"related":["sensorium","foveation","biome"],"source":"01-concepts/biomimetisme/web-foraging.md","routes":{"en":"/en/concepts/web-foraging","fr":"/fr/concepts/web-foraging"}},{"id":"foveation","title":"Foveation","titleFr":"Fovéation","definition":"A process for selecting a region of an observation for higher-resolution inspection.","definitionFr":"La vision concentre une haute résolution près de la fovéa et observe le reste avec moins de détail. GenOS sélectionne une région à inspecter sous budget.","family":"physiology-perception","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Visual systems concentrate high-resolution sampling near the fovea while surveying a wider field at lower detail. The software analogy selects a region for deeper inspection under cost limits.","scienceFr":"La vision concentre une haute résolution près de la fovéa et observe le reste avec moins de détail. GenOS sélectionne une région à inspecter sous budget.","mathematicalModel":"Choose region r*=argmax_r value(r)/cost(r) subject to inspection budget B; record what remained outside the high-resolution window.","mathematicalModelFr":"Choisir région r*=argmax_r valeur(r)/coût(r) sous budget B ; tracer les zones non inspectées en haute résolution.","biologicalInspiration":"The fovea provides high-acuity vision within a wider low-detail field. GenOS borrows selective high-resolution inspection to spend a limited observation budget.","biologicalInspirationFr":"La fovéa donne une vision précise dans un champ plus large moins détaillé. GenOS reprend l'inspection ciblée sous budget.","literatureMechanisms":["embodied-control"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/fovealVisionService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/fovealVisionService.js"},{"path":"backend/tests/test_foveal_vision.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_foveal_vision.js"}],"related":["sensorium","web-foraging","animal-control-primitives"],"source":"01-concepts/biomimetisme/sens-animaux.md","routes":{"en":"/en/concepts/foveation","fr":"/fr/concepts/foveation"}},{"id":"animal-senses","title":"Animal senses","titleFr":"Sens animaux","definition":"A catalog of sensory mechanisms used as constrained design analogies for runtime perception.","definitionFr":"Les sens animaux transforment des stimuli physiques au moyen de récepteurs propres à chaque modalité. GenOS n'a que des entrées logicielles déclarées.","family":"physiology-perception","implementation":"proposed","integration":"isolated","evidence":"none","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Animal senses transduce physical stimuli through modality-specific receptors. GenOS uses sensing metaphors for software inputs; it does not possess biological receptors or subjective perception.","scienceFr":"Les sens animaux transforment des stimuli physiques au moyen de récepteurs propres à chaque modalité. GenOS n'a que des entrées logicielles déclarées.","mathematicalModel":"For modality m, measurement y_m=h_m(x)+ε_m. State sensor range, resolution and noise ε_m before combining observations.","mathematicalModelFr":"Pour modalité m, mesure y_m=h_m(x)+ε_m. Déclarer plage, résolution et bruit ε_m avant la fusion.","biologicalInspiration":"Animal receptors transduce different physical stimuli. GenOS uses modality-specific input analogies, not biological reception or sensation.","biologicalInspirationFr":"Les récepteurs animaux transforment divers stimuli physiques. GenOS utilise des analogies d'entrées par modalité, sans sensation biologique.","literatureMechanisms":["embodied-control"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/fovealVisionService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/fovealVisionService.js"},{"path":"backend/src/services/biome/foraging/ecologicalForagingController.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/biome/foraging/ecologicalForagingController.js"}],"related":["sensorium","foveation"],"source":"01-concepts/biomimetisme/sens-animaux.md","routes":{"en":"/en/concepts/animal-senses","fr":"/fr/concepts/animal-senses"}},{"id":"animal-control-primitives","title":"Animal control primitives","titleFr":"Primitives de contrôle animal","definition":"Bounded control patterns inspired by animal behavior and translated into software operations.","definitionFr":"Certains comportements animaux reposent sur des boucles locales stimulus-réponse. Les primitives logicielles reprennent cette structure sous gardes et mesures.","family":"physiology-perception","implementation":"experimental","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Simple animal behaviors can emerge from local stimulus-response loops. Software primitives borrow this control structure; their correctness depends on specified triggers, authority and measured outcomes.","scienceFr":"Certains comportements animaux reposent sur des boucles locales stimulus-réponse. Les primitives logicielles reprennent cette structure sous gardes et mesures.","mathematicalModel":"Controller a_t=π(o_t) applies only if guard(o_t,authority,budget)=true. Evaluate stability and unintended effects across repeated steps.","mathematicalModelFr":"Contrôleur a_t=π(o_t) si garde(observation,autorité,budget)=vrai. Mesurer stabilité et effets indésirables.","biologicalInspiration":"Local stimulus–response loops can guide animal behavior. GenOS borrows bounded feedback rules while keeping authority and effect checks explicit.","biologicalInspirationFr":"Des boucles locales stimulus-réponse peuvent guider un comportement animal. GenOS reprend des règles bornées avec contrôles d'autorité et d'effet.","literatureMechanisms":["embodied-control"],"useCases":[],"failureModes":[],"codeSources":[],"related":["instinct","sensorium","homeostasis"],"source":"01-concepts/biomimetisme/primitives-controle-animal.md","routes":{"en":"/en/concepts/animal-control-primitives","fr":"/fr/concepts/animal-control-primitives"}},{"id":"adaptive-epistemic-immunity","title":"Adaptive epistemic immune system","titleFr":"Immunité épistémique adaptative","definition":"A threat-response model for checking claims and evidence while preserving authority and provenance boundaries.","definitionFr":"L'immunité adaptative distingue reconnaissance, mémoire et réponse. L'analogie logicielle contrôle une affirmation suspecte sans garantir une détection parfaite.","family":"immunity-medicine","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The analogy combines anomaly detection with review of claims and evidence. Epistemic safeguards can overreact, miss threats, or inherit source bias; no absolute immunity is implied.","scienceFr":"L'immunité adaptative distingue reconnaissance, mémoire et réponse. L'analogie logicielle contrôle une affirmation suspecte sans garantir une détection parfaite.","mathematicalModel":"A candidate claim c is quarantined when risk(c)≥τ, then released only after an independent review rule passes. Threshold τ trades false positives against missed threats.","mathematicalModelFr":"Mettre en quarantaine c si risque(c)≥τ ; libérer après une revue indépendante. τ règle le compromis entre faux positifs et menaces manquées.","biologicalInspiration":"Adaptive immunity remembers prior exposures and refines recognition. GenOS borrows the idea of review after a suspicious signal, but its rules are authored and may miss or overreact.","biologicalInspirationFr":"L'immunité adaptative garde la mémoire d'expositions et affine la reconnaissance. GenOS retient l'idée d'une revue après signal suspect, avec des règles écrites et faillibles.","literatureMechanisms":["clonal-selection","fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/epistemic/adaptiveImmuneResponse.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/epistemic/adaptiveImmuneResponse.js"},{"path":"backend/tests/adaptive_immune_response_test.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/adaptive_immune_response_test.js"},{"path":"backend/tests/test_aeis_authority_persistence.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_aeis_authority_persistence.js"},{"path":"backend/tests/test_aeis_provider_persistence.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_aeis_provider_persistence.js"}],"related":["immune-system","evidence","biocenose"],"source":"01-concepts/adaptive-epistemic-immune-system.md","routes":{"en":"/en/concepts/adaptive-epistemic-immunity","fr":"/fr/concepts/adaptive-epistemic-immunity"}},{"id":"immune-system","title":"Immune system","titleFr":"Système immunitaire","definition":"A set of threat detection and containment mechanisms; no absolute immunity is implied.","definitionFr":"L'immunité biologique combine plusieurs couches de reconnaissance et de réponse. Un système logiciel de détection n'en reproduit que la logique de contrôle borné.","family":"immunity-medicine","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Biological immunity involves layered recognition and response mechanisms. A runtime immune system is a threat-detection and containment policy; it cannot guarantee complete detection or prevention.","scienceFr":"L'immunité biologique combine plusieurs couches de reconnaissance et de réponse. Un système logiciel de détection n'en reproduit que la logique de contrôle borné.","mathematicalModel":"A detector maps signals x to risk r(x); a response is permitted only if confidence, authority, and reversibility gates pass. False positive and false negative rates require measurement.","mathematicalModelFr":"Détecteur r(x) sur signaux x ; réponse si confiance, autorité et réversibilité satisfont les gardes. Mesurer faux positifs et faux négatifs.","biologicalInspiration":"Biological immunity layers recognition, containment and reassessment. The software analogy motivates staged threat handling rather than an assertion of complete protection.","biologicalInspirationFr":"L'immunité biologique superpose reconnaissance, contention et réévaluation. L'analogie motive une réponse logicielle par étapes, sans promettre une protection complète.","literatureMechanisms":["clonal-selection","fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/immuneSystem.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/immuneSystem.js"},{"path":"backend/src/services/immuneGateService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/immuneGateService.js"},{"path":"backend/tests/test_immune_n6_regression.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_immune_n6_regression.js"}],"related":["adaptive-epistemic-immunity","pathologies","holobionte"],"source":"01-concepts/adaptive-epistemic-immune-system.md","routes":{"en":"/en/concepts/immune-system","fr":"/fr/concepts/immune-system"}},{"id":"nosology","title":"Nosology","titleFr":"Nosologie","definition":"A classification of runtime pathologies used to describe failure patterns and possible responses.","definitionFr":"La nosologie médicale classe les maladies selon observations et causes. Une taxonomie logicielle emprunte cette discipline sans devenir un diagnostic médical.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Medical nosology organizes diseases by observable patterns and causes. A software failure taxonomy borrows classification discipline but is not a medical diagnostic system.","scienceFr":"La nosologie médicale classe les maladies selon observations et causes. Une taxonomie logicielle emprunte cette discipline sans devenir un diagnostic médical.","mathematicalModel":"Define classes C with explicit inclusion predicates P_c(x). Multi-label classification returns {c∈C:P_c(x)} and uncertainty, followed by independent response verification.","mathematicalModelFr":"Classes C avec prédicats P_c(x). Classer par {c∈C:P_c(x)} et incertitude, puis vérifier séparément la réponse.","biologicalInspiration":"Medical nosology groups conditions by signs and causes. GenOS applies explicit grouping to runtime failure patterns, with separate evidence for each classification.","biologicalInspirationFr":"La nosologie regroupe les maladies par signes et causes. GenOS applique un classement explicite aux défaillances du runtime, avec des preuves propres à chaque classe.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"},{"path":"crates/genos-orchestrator/tests/nosology_authorization.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-orchestrator/tests/nosology_authorization.rs"}],"related":["pathologies","adaptive-epistemic-immunity"],"source":"01-concepts/nosologie/pathologie-et-medecine.md","routes":{"en":"/en/concepts/nosology","fr":"/fr/concepts/nosology"}},{"id":"pathologies","title":"Computational pathologies","titleFr":"Pathologies computationnelles","definition":"A model of degraded or unsafe runtime states, not a medical diagnosis of people.","definitionFr":"Le catalogue emprunte des catégories cliniques pour organiser des échecs de logiciels. Il ne représente ni maladie humaine ni traitement médical.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The pathology catalog classifies software failure patterns using clinical terminology. The categories are operational metaphors and are not medical diagnoses, symptoms, or treatment recommendations.","scienceFr":"Le catalogue emprunte des catégories cliniques pour organiser des échecs de logiciels. Il ne représente ni maladie humaine ni traitement médical.","mathematicalModel":"A failure classifier maps telemetry x to a set of candidate failure labels; preserve multi-label uncertainty and require a separate verified response decision.","mathematicalModelFr":"Classer la télémétrie x dans plusieurs étiquettes possibles avec incertitude ; la décision de réponse se vérifie séparément.","biologicalInspiration":"Medicine names failure patterns to guide inquiry. The software taxonomy similarly separates mechanisms and responses, while remaining outside human diagnosis.","biologicalInspirationFr":"La médecine nomme des motifs de défaillance pour guider l'enquête. La taxonomie logicielle distingue de même mécanismes et réponses, sans diagnostic humain.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/src/pathology.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/src/pathology.rs"},{"path":"crates/genos-cell/src/clinical.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-cell/src/clinical.rs"}],"related":["nosology","immune-system","evidence"],"source":"01-concepts/nosologie/vue-ensemble.md","routes":{"en":"/en/concepts/pathologies","fr":"/fr/concepts/pathologies"}},{"id":"autoimmune","title":"Autoimmune failure","titleFr":"Défaillance auto-immune","definition":"A pathology category for safeguards that overreact to legitimate runtime behavior.","definitionFr":"L'auto-immunité biologique vise des composants du soi. L'analogie décrit une protection logicielle qui bloque une activité légitime.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Autoimmune disease involves immune responses against self components. The software metaphor describes safeguards that flag authorized behavior; measure false positives before intervention.","scienceFr":"L'auto-immunité biologique vise des composants du soi. L'analogie décrit une protection logicielle qui bloque une activité légitime.","mathematicalModel":"False-positive rate FPR=FP/(FP+TN) on a declared authorized-behavior set. A response gate should account for both harm from intervention and missed threats.","mathematicalModelFr":"Taux de faux positifs FPR=FP/(FP+TN) sur un jeu d'activités légitimes déclaré ; comparer les coûts d'intervention et d'omission.","biologicalInspiration":"Autoimmunity illustrates that a defensive response can harm the host. The software lesson is to measure false positives and require proportional containment.","biologicalInspirationFr":"L'auto-immunité montre qu'une défense peut nuire à l'hôte. En logiciel, il faut mesurer les faux positifs et borner la contention.","literatureMechanisms":["clonal-selection","fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/holobionte/immune/autoimmuneDetector.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/holobionte/immune/autoimmuneDetector.js"},{"path":"backend/tests/test_holobiont_autoimmunity.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_holobiont_autoimmunity.js"}],"related":["pathologies","immune-system"],"source":"01-concepts/nosologie/01-auto-immunes.md","routes":{"en":"/en/concepts/autoimmune","fr":"/fr/concepts/autoimmune"}},{"id":"degenerative","title":"Degenerative failure","titleFr":"Défaillance dégénérative","definition":"A pathology category for progressive loss of runtime capability or state quality.","definitionFr":"La dégénérescence est une perte progressive de structure ou de fonction. La catégorie logicielle suit une baisse de qualité sans en déduire automatiquement la cause.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Degeneration is progressive loss of structure or function. The runtime category tracks declining capability or state quality over time; causal diagnosis requires more than a trend.","scienceFr":"La dégénérescence est une perte progressive de structure ou de fonction. La catégorie logicielle suit une baisse de qualité sans en déduire automatiquement la cause.","mathematicalModel":"For quality Q_t, flag sustained decline only when slope(Q_{t−k:t})<−τ across a declared window and measurement uncertainty is controlled.","mathematicalModelFr":"Signaler un déclin si pente(Q_{t−k:t})<−τ sur une fenêtre déclarée, après contrôle de l'incertitude de mesure.","biologicalInspiration":"Degeneration motivates tracking functional loss over time. A downward software metric is only a signal; causal diagnosis still needs controlled evidence.","biologicalInspirationFr":"La dégénérescence motive un suivi de la perte fonctionnelle dans le temps. Une mesure logicielle en baisse n'établit pas seule la cause.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-cell/src/clinical.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-cell/src/clinical.rs"},{"path":"crates/genos-biology/src/pathology.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/src/pathology.rs"}],"related":["pathologies","resilience"],"source":"01-concepts/nosologie/02-degeneratives.md","routes":{"en":"/en/concepts/degenerative","fr":"/fr/concepts/degenerative"}},{"id":"infectious","title":"Infectious failure","titleFr":"Défaillance infectieuse","definition":"A pathology category for unwanted propagation across agents, workspaces, or state boundaries.","definitionFr":"Une infection se propage par des voies de transmission. L'analogie suit un artefact ou état fautif entre workspaces, sans agent pathogène.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Infection spreads through contact and transmission paths. The software analogy tracks unwanted propagation of a bad artifact or state across workspaces, without implying a pathogen.","scienceFr":"Une infection se propage par des voies de transmission. L'analogie suit un artefact ou état fautif entre workspaces, sans agent pathogène.","mathematicalModel":"On graph G=(V,E), exposure set R_{t+1}=R_t∪neighbors(R_t) subject to actual transfer events; containment removes or blocks implicated edges.","mathematicalModelFr":"Sur graphe G=(V,E), exposition R_{t+1}=R_t∪voisins(R_t) selon transferts observés ; contenir en bloquant les liens en cause.","biologicalInspiration":"Infection spreads along contact paths. The analogy motivates tracing artifact propagation and isolating affected software boundaries.","biologicalInspirationFr":"L'infection se propage par des contacts. L'analogie motive le traçage d'un artefact fautif et l'isolement des frontières touchées.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-cell/src/clinical.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-cell/src/clinical.rs"},{"path":"crates/genos-immune/src/virology.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-immune/src/virology.rs"}],"related":["pathologies","immune-system","sandbox"],"source":"01-concepts/nosologie/03-infectieuses.md","routes":{"en":"/en/concepts/infectious","fr":"/fr/concepts/infectious"}},{"id":"genetic-pathology","title":"Genetic failure","titleFr":"Défaillance génétique","definition":"A pathology category for harmful inherited or encoded agent traits.","definitionFr":"Des variantes génétiques héritées peuvent modifier une fonction biologique. Ici, la catégorie vise des traits nuisibles dans un modèle agent versionné.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Inherited genetic variants can affect biological function. Here the category concerns harmful traits encoded in a versioned agent model; genotype-to-effect claims need controlled comparison.","scienceFr":"Des variantes génétiques héritées peuvent modifier une fonction biologique. Ici, la catégorie vise des traits nuisibles dans un modèle agent versionné.","mathematicalModel":"Compare outcome Y(G′,E)−Y(G,E) under matched environment E before attributing a failure to changed inherited configuration G′.","mathematicalModelFr":"Comparer Y(G′,E)−Y(G,E) sous le même environnement E avant d'attribuer l'échec au trait modifié G′.","biologicalInspiration":"Inherited variants can affect descendants. The software analogy motivates testing versioned inherited traits against matched controls.","biologicalInspirationFr":"Des variantes héritées peuvent affecter les descendants. L'analogie motive un test contrôlé des traits logiciels versionnés.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"}],"related":["pathologies","genome","agent-dna"],"source":"01-concepts/nosologie/04-genetiques.md","routes":{"en":"/en/concepts/genetic-pathology","fr":"/fr/concepts/genetic-pathology"}},{"id":"cancerous","title":"Cancer-like failure","titleFr":"Défaillance de type cancéreux","definition":"A pathology category for uncontrolled growth or replication in a runtime model.","definitionFr":"Le cancer implique une prolifération cellulaire dérégulée. L'analogie logicielle vise une croissance de processus ou d'artefacts non autorisée.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Cancer involves dysregulated cell proliferation and selection. The software analogy concerns uncontrolled process or artifact growth; it does not model tumors or cancer biology.","scienceFr":"Le cancer implique une prolifération cellulaire dérégulée. L'analogie logicielle vise une croissance de processus ou d'artefacts non autorisée.","mathematicalModel":"Let N_t be active descendants; flag expansion when N_{t+1}>N_max or growth rate (N_{t+1}−N_t)/max(1,N_t)>g_max under declared policy.","mathematicalModelFr":"Pour descendants actifs N_t, alerter si N_{t+1}>N_max ou si (N_{t+1}−N_t)/max(1,N_t)>g_max.","biologicalInspiration":"Tumor evolution combines variation and uncontrolled clonal expansion. The software analogy concerns unbounded replication, not a tumor model.","biologicalInspirationFr":"L'évolution tumorale associe variation et expansion clonale incontrôlée. L'analogie vise une réplication logicielle non bornée, non un modèle tumoral.","literatureMechanisms":["cancer-clonal-evolution"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"}],"related":["pathologies","reproduction","governance"],"source":"01-concepts/nosologie/05-cancers.md","routes":{"en":"/en/concepts/cancerous","fr":"/fr/concepts/cancerous"}},{"id":"metabolic-pathology","title":"Metabolic failure","titleFr":"Défaillance métabolique","definition":"A pathology category for unsustainable resource use or allocation.","definitionFr":"Une maladie métabolique perturbe des transformations biologiques. En logiciel, la catégorie décrit une consommation de ressources non soutenable.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Metabolic disease disrupts energy or material processing in organisms. Software resource pathology concerns unsustainable budget use; units and allocation rules must be stated.","scienceFr":"Une maladie métabolique perturbe des transformations biologiques. En logiciel, la catégorie décrit une consommation de ressources non soutenable.","mathematicalModel":"For available budget B_t and consumption c_t, deficit D_t=max(0,c_t−B_t). Persistent D_t>0 requires throttling or replanning, not biological treatment.","mathematicalModelFr":"Pour budget B_t et consommation c_t, déficit D_t=max(0,c_t−B_t). Un déficit durable impose limitation ou replanification.","biologicalInspiration":"Metabolic dysfunction can disrupt resource balance in organisms. The software counterpart is explicit accounting for overspent computational budgets.","biologicalInspirationFr":"Une dysfonction métabolique perturbe l'équilibre des ressources biologiques. En logiciel, l'équivalent est la comptabilité d'un budget dépassé.","literatureMechanisms":["biological-homeostasis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"}],"related":["pathologies","metabolism","biome"],"source":"01-concepts/nosologie/06-metaboliques.md","routes":{"en":"/en/concepts/metabolic-pathology","fr":"/fr/concepts/metabolic-pathology"}},{"id":"cardiovascular","title":"Cardiovascular failure","titleFr":"Défaillance cardiovasculaire","definition":"A pathology category for disrupted flows or communication in a runtime model.","definitionFr":"La circulation cardiovasculaire déplace le sang dans un réseau. L'analogie logicielle vise un goulot de flux d'information, sans physiologie sanguine.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Cardiovascular circulation moves blood through a bounded network. The software analogy concerns blocked information or control flow; it does not represent blood pressure or physiology.","scienceFr":"La circulation cardiovasculaire déplace le sang dans un réseau. L'analogie logicielle vise un goulot de flux d'information, sans physiologie sanguine.","mathematicalModel":"For channel e, throughput q_e=delivered_e/window and backlog b_e=arrivals_e−delivered_e. A bottleneck appears when sustained arrivals exceed service capacity.","mathematicalModelFr":"Pour canal e, débit q_e=livrés/fenêtre et arriéré b_e=arrivées−livrés ; le goulot persiste si les arrivées dépassent la capacité.","biologicalInspiration":"Circulation depends on sufficient flow through a network. The analogy points to queueing and channel bottlenecks rather than blood physiology.","biologicalInspirationFr":"La circulation dépend d'un débit suffisant dans un réseau. L'analogie vise les files et goulots de communication, non la physiologie sanguine.","literatureMechanisms":["biological-homeostasis"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"}],"related":["pathologies","communication-ecology"],"source":"01-concepts/nosologie/07-cardiovasculaires.md","routes":{"en":"/en/concepts/cardiovascular","fr":"/fr/concepts/cardiovascular"}},{"id":"psychiatric","title":"Psychiatric failure","titleFr":"Défaillance psychiatrique","definition":"A pathology category for modeled behavioral instability; it is not a claim about human mental illness.","definitionFr":"Les troubles psychiatriques concernent des personnes et exigent une évaluation clinique. Le terme GenOS ne décrit que des décisions logicielles instables.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Psychiatric conditions concern people and require clinical assessment. The GenOS label is only a metaphor for unstable software decisions; no mental-health inference is made.","scienceFr":"Les troubles psychiatriques concernent des personnes et exigent une évaluation clinique. Le terme GenOS ne décrit que des décisions logicielles instables.","mathematicalModel":"Measure decision variance Var(a_t|matched inputs) and constraint violations over a declared test set. A high value prompts software investigation, not diagnosis.","mathematicalModelFr":"Mesurer variance des décisions Var(a_t|entrées comparables) et violations de contraintes sur un jeu déclaré ; cela n'est pas un diagnostic.","biologicalInspiration":"Human psychiatric conditions have clinical definitions that do not transfer to software. This label is a metaphor for decision instability and should be read only as such.","biologicalInspirationFr":"Les troubles psychiatriques humains ont des définitions cliniques non transférables au logiciel. Le terme est une métaphore de l'instabilité des décisions.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"}],"related":["pathologies","self-model"],"source":"01-concepts/nosologie/08-psychiatriques.md","routes":{"en":"/en/concepts/psychiatric","fr":"/fr/concepts/psychiatric"}},{"id":"environmental-pathology","title":"Environmental failure","titleFr":"Défaillance environnementale","definition":"A pathology category for harmful interactions between a runtime and its operating environment.","definitionFr":"Des expositions environnementales influencent la santé biologique. Les défaillances logicielles peuvent dépendre de charge, réseau ou configuration.","family":"immunity-medicine","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Environmental exposures can alter biological health. Software failures may likewise depend on configuration, network, load or external services; isolate conditions before claiming causation.","scienceFr":"Des expositions environnementales influencent la santé biologique. Les défaillances logicielles peuvent dépendre de charge, réseau ou configuration.","mathematicalModel":"Estimate effect Δ=Y(environment E1)−Y(environment E0) under matched workload and version. Record confounders and repeated measurements.","mathematicalModelFr":"Estimer Δ=Y(environnement E1)−Y(environnement E0) à charge et version comparables, avec répétitions et facteurs confondants.","biologicalInspiration":"An organism's environment can affect health. The software analogy prompts controlled comparison of configuration, load and external dependencies.","biologicalInspirationFr":"L'environnement peut influer sur la santé d'un organisme. L'analogie invite à comparer configuration, charge et dépendances externes.","literatureMechanisms":["fault-tolerance"],"useCases":[],"failureModes":[],"codeSources":[{"path":"shared/nosology.json","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/shared/nosology.json"},{"path":"crates/genos-biology/tests/nosology_catalog.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-biology/tests/nosology_catalog.rs"}],"related":["pathologies","sensorium","resilience"],"source":"01-concepts/nosologie/09-environnementales.md","routes":{"en":"/en/concepts/environmental-pathology","fr":"/fr/concepts/environmental-pathology"}},{"id":"lean-verification","title":"Lean verification","titleFr":"Vérification Lean","definition":"A verification path that submits formal proof artifacts to a Lean kernel.","definitionFr":"Un assistant de preuve contrôle un terme dans un noyau logique. La réussite porte sur la proposition formalisée et les axiomes, non sur toutes les prémisses informelles.","family":"formal-verification","implementation":"partial","integration":"callable","evidence":"benchmark-protocol","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A proof assistant checks proof terms against a formal kernel and a declared logic. A successful kernel check establishes a theorem relative to that formalization and trusted implementation; it does not verify informal premises automatically.","scienceFr":"Un assistant de preuve contrôle un terme dans un noyau logique. La réussite porte sur la proposition formalisée et les axiomes, non sur toutes les prémisses informelles.","mathematicalModel":"The proposition Γ⊢P is accepted only when a proof term inhabits P under context Γ and the kernel's inference rules. The trusted computing base and imported axioms bound the claim.","mathematicalModelFr":"Accepter Γ⊢P seulement si un terme de preuve habite P dans le contexte Γ selon les règles du noyau.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/cognitiveEpistemicCheckService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/cognitiveEpistemicCheckService.js"},{"path":"backend/tests/test_cognitive_epistemic_check.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_cognitive_epistemic_check.js"}],"related":["proof-artifact","verification-registry","smt-solver"],"source":"03-reference/contrat-produit-et-completude.md","routes":{"en":"/en/concepts/lean-verification","fr":"/fr/concepts/lean-verification"}},{"id":"proof-artifact","title":"ProofArtifact","titleFr":"Artefact de preuve","definition":"A structured artifact that binds a formal claim, proof material, and verification result.","definitionFr":"Un artefact de preuve associe proposition, preuve vérifiable et métadonnées du contrôleur. Sa validité est relative à la formalisation.","family":"formal-verification","implementation":"proposed","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A proof artifact packages a proposition with machine-checkable proof material and verifier metadata. Acceptance is relative to the formal statement, axioms, and trusted checker.","scienceFr":"Un artefact de preuve associe proposition, preuve vérifiable et métadonnées du contrôleur. Sa validité est relative à la formalisation.","mathematicalModel":"Artifact A=(P, proof, kernel, assumptions, result). A valid result means the kernel checked proof : P under assumptions; it does not confirm that P captures the intended real-world claim.","mathematicalModelFr":"Artefact A=(P,preuve,noyau,hypothèses,résultat). Valide si le noyau contrôle preuve:P sous ces hypothèses.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[],"related":["lean-verification","evidence","verification-registry"],"source":"03-reference/contrat-produit-et-completude.md","routes":{"en":"/en/concepts/proof-artifact","fr":"/fr/concepts/proof-artifact"}},{"id":"deterministic-verification","title":"Deterministic verification","titleFr":"Vérification déterministe","definition":"A repeatable check whose result depends on declared inputs and a bounded verifier.","definitionFr":"Des contrôles répétables soutiennent la reproductibilité si entrées et versions sont fixées. Le déterminisme seul ne prouve pas que le bon critère est testé.","family":"formal-verification","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Repeatable checks can support reproducibility when inputs, versions, and environmental assumptions are controlled. Determinism alone does not establish that the check measures the right property.","scienceFr":"Des contrôles répétables soutiennent la reproductibilité si entrées et versions sont fixées. Le déterminisme seul ne prouve pas que le bon critère est testé.","mathematicalModel":"A verifier V(x,c)→{pass,fail} is reproducible when fixed input x, checker c, and declared version produce the same result. Soundness is a separate property requiring proof or validation.","mathematicalModelFr":"V(x,c)→{réussite,échec} doit donner le même résultat pour entrée x, contrôleur c, version et environnement fixés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agents/deterministicWorkerVerifier.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agents/deterministicWorkerVerifier.js"},{"path":"backend/tests/test_deterministic_worker_verifier.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_deterministic_worker_verifier.js"}],"related":["proof-artifact","deterministic-procedures","evidence"],"source":"03-reference/contrat-produit-et-completude.md","routes":{"en":"/en/concepts/deterministic-verification","fr":"/fr/concepts/deterministic-verification"}},{"id":"mathematical-organism","title":"Mathematical organism","titleFr":"Organisme mathématique","definition":"A formal model of an agent system expressed through explicit mathematical structures and limits.","definitionFr":"L'organisme mathématique est une abstraction définie par états, transitions et observations, non un organisme biologique.","family":"formal-verification","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The term describes a mathematical abstraction of a system, not a biological organism. A useful model states its state space, transition rules, observables, and scope.","scienceFr":"L'organisme mathématique est une abstraction définie par états, transitions et observations, non un organisme biologique.","mathematicalModel":"Specify model M=(X,U,T,Y), with state space X, controls U, transition T, and observations Y. State assumptions and distinguish model properties from implementation evidence.","mathematicalModelFr":"Modèle M=(X,U,T,Y) avec états X, contrôles U, transition T et observations Y ; expliciter hypothèses et portée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["biological-morphogenesis"],"useCases":[],"failureModes":[],"codeSources":[],"related":["lean-verification","deterministic-procedures","evidence"],"source":"01-concepts/mathematical-organism.md","routes":{"en":"/en/concepts/mathematical-organism","fr":"/fr/concepts/mathematical-organism"}},{"id":"verification-registry","title":"Verification registry","titleFr":"Registre de vérification","definition":"A registry of available verification contracts and their declared evidence requirements.","definitionFr":"Un registre rend les contrats de vérification accessibles et comparables. L'enregistrement ne signifie pas que toute exécution est correctement vérifiée.","family":"formal-verification","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A registry makes verification contracts discoverable and comparable. Registration indicates an available contract, not that every execution is complete or sound.","scienceFr":"Un registre rend les contrats de vérification accessibles et comparables. L'enregistrement ne signifie pas que toute exécution est correctement vérifiée.","mathematicalModel":"Each contract v declares input schema, verifier, assumptions, and result type. A registry entry should bind to a version and reproducible artifact.","mathematicalModelFr":"Contrat v=(schéma,contrôleur,hypothèses,type de résultat,version), lié à un artefact reproductible.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[],"related":["proof-artifact","evidence","governance"],"source":"03-reference/contrat-produit-et-completude.md","routes":{"en":"/en/concepts/verification-registry","fr":"/fr/concepts/verification-registry"}},{"id":"smt-solver","title":"SMT solver layer","titleFr":"Couche de solveur SMT","definition":"A solver integration surface whose maturity and runtime status must be checked against its implementation record.","definitionFr":"Un solveur SMT vérifie la satisfaisabilité de formules dans des théories déclarées. SAT ou UNSAT dépend de l'encodage et du contrôleur.","family":"formal-verification","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"SMT solving determines satisfiability of formulas over declared theories. A SAT/UNSAT result is bounded by encoding, solver, theory support, and proof or model validation.","scienceFr":"Un solveur SMT vérifie la satisfaisabilité de formules dans des théories déclarées. SAT ou UNSAT dépend de l'encodage et du contrôleur.","mathematicalModel":"Given formula φ in theory T, return SAT with model m or UNSAT under T. Validate model satisfaction or proof certificate where the solver contract provides one.","mathematicalModelFr":"Pour formule φ dans théorie T : SAT avec modèle m, ou UNSAT sous T ; vérifier modèle ou certificat si disponible.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/cognitiveEpistemicCheckService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/cognitiveEpistemicCheckService.js"},{"path":"backend/tests/test_cognitive_epistemic_check.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_cognitive_epistemic_check.js"}],"related":["lean-verification","deterministic-verification"],"source":"03-reference/contrat-produit-et-completude.md","routes":{"en":"/en/concepts/smt-solver","fr":"/fr/concepts/smt-solver"}},{"id":"deterministic-procedures","title":"Deterministic procedures","titleFr":"Procédures déterministes","definition":"Bounded procedures whose declared inputs and rules make their results reproducible.","definitionFr":"Un algorithme déterministe produit le même résultat avec les mêmes entrées sous les mêmes règles d'exécution.","family":"formal-verification","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Deterministic algorithms return the same output for the same inputs under fixed execution semantics. Reproducibility still depends on versioning and fully specified inputs.","scienceFr":"Un algorithme déterministe produit le même résultat avec les mêmes entrées sous les mêmes règles d'exécution.","mathematicalModel":"A procedure f is deterministic when x₁=x₂ implies f(x₁)=f(x₂) under the same version and environment. Record both to make replay meaningful.","mathematicalModelFr":"Si x_1=x_2, alors f(x_1)=f(x_2) à version et environnement identiques ; conserver ces paramètres.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/agents/deterministicWorkerProcedures.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agents/deterministicWorkerProcedures.js"},{"path":"backend/src/services/agents/deterministicWorkerVerifier.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/agents/deterministicWorkerVerifier.js"},{"path":"backend/tests/test_deterministic_worker_verifier.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_deterministic_worker_verifier.js"}],"related":["deterministic-verification","workflows","proof-artifact"],"source":"02-orchestration/primitives-executables.md","routes":{"en":"/en/concepts/deterministic-procedures","fr":"/fr/concepts/deterministic-procedures"}},{"id":"snapshots","title":"Snapshots","titleFr":"Instantanés","definition":"Versioned captures of runtime or agent state that can support restoration and comparison.","definitionFr":"Un snapshot capture un état à un instant donné. Sa complétude dépend des magasins, ressources externes et processus effectivement inclus.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A snapshot is a point-in-time state capture used for inspection or restoration. Completeness depends on which stores, external resources, and volatile processes are included.","scienceFr":"Un snapshot capture un état à un instant donné. Sa complétude dépend des magasins, ressources externes et processus effectivement inclus.","mathematicalModel":"A snapshot S=(state, version, dependencies, timestamp, digest). Restoration is valid only when required dependencies resolve and integrity checks pass.","mathematicalModelFr":"S=(état,version,dépendances,temps,empreinte) ; restaurer seulement avec dépendances disponibles et contrôle d'intégrité.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering","distributed-snapshot"],"useCases":[],"failureModes":[],"codeSources":[{"path":"crates/genos-store/src/snapshot.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-store/src/snapshot.rs"},{"path":"crates/genos-cli/tests/snapshot_contract.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-cli/tests/snapshot_contract.rs"},{"path":"backend/tests/test_agent_git_sqlite_e2e.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agent_git_sqlite_e2e.js"}],"related":["agent-git","counterfactual-workspaces","provenance"],"source":"02-orchestration/git-agents.md","routes":{"en":"/en/concepts/snapshots","fr":"/fr/concepts/snapshots"}},{"id":"vfs","title":"Virtual filesystem","titleFr":"Système de fichiers virtuel","definition":"A bounded filesystem interface used to scope access to project and runtime files.","definitionFr":"Un système de fichiers virtuel sépare chemins logiques et stockage réel. La résolution doit appliquer les droits, y compris face aux traversées de chemin.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A virtual filesystem separates logical paths and operations from backing storage. Access control must be enforced during path resolution and operation, including traversal and aliasing cases.","scienceFr":"Un système de fichiers virtuel sépare chemins logiques et stockage réel. La résolution doit appliquer les droits, y compris face aux traversées de chemin.","mathematicalModel":"Resolve normalized path p to resource r only if r lies within allowed root R and policy(actor,operation,r)=allow; reject traversal outside R.","mathematicalModelFr":"Résoudre p vers ressource r si r appartient à racine autorisée R et politique(acteur,opération,r)=autoriser ; refuser toute sortie de R.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["security"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/sandboxExecutor.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/sandboxExecutor.js"},{"path":"backend/tests/test_aeis_sandbox.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_aeis_sandbox.js"}],"related":["sandbox","counterfactual-workspaces","identity-authority"],"source":"05-securite-gouvernance/sandbox-execution-code.md","routes":{"en":"/en/concepts/vfs","fr":"/fr/concepts/vfs"}},{"id":"sqlite","title":"SQLite persistence","titleFr":"Persistance SQLite","definition":"The local relational storage layer used by runtime services that persist sessions and operational state.","definitionFr":"SQLite est un moteur relationnel embarqué avec stockage transactionnel local. Il ne définit pas seul isolation des locataires, sauvegarde ou logique métier.","family":"runtime-infrastructure","implementation":"implemented","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"SQLite is an embedded relational database engine. Using it provides local transactional storage; it does not by itself define tenant isolation, backup, or application-level correctness.","scienceFr":"SQLite est un moteur relationnel embarqué avec stockage transactionnel local. Il ne définit pas seul isolation des locataires, sauvegarde ou logique métier.","mathematicalModel":"Relational constraints enforce declared schema invariants. Transaction commit gives atomicity for a transaction; concurrency and durability depend on configuration and deployment.","mathematicalModelFr":"Les contraintes relationnelles protègent les invariants déclarés ; la validation transactionnelle est atomique selon configuration.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["sqlite-architecture","transaction-model"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/storage/operational/sqliteStore.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/storage/operational/sqliteStore.js"},{"path":"backend/tests/test_agent_git_sqlite_e2e.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_agent_git_sqlite_e2e.js"}],"related":["persistence","snapshots","syncytium"],"source":"04-exploitation/deploiement.md","routes":{"en":"/en/concepts/sqlite","fr":"/fr/concepts/sqlite"}},{"id":"persistence","title":"Persistence","titleFr":"Persistance","definition":"Storage and rehydration mechanisms that preserve selected runtime state across calls or restarts.","definitionFr":"La persistance conserve un état entre appels ou redémarrages et impose cohérence, migration et règles de rétention.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Persistence preserves selected state across calls or process restarts. It introduces consistency, migration, retention, and deletion concerns that an in-memory state avoids.","scienceFr":"La persistance conserve un état entre appels ou redémarrages et impose cohérence, migration et règles de rétention.","mathematicalModel":"A durable record maps key k and version v to value x. Read/write semantics, transaction boundaries, expiry, and migration rules define the contract.","mathematicalModelFr":"Enregistrement durable (clé k,version v,valeur x) ; définir lectures, écritures, transactions, expiration et migrations.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["transaction-model"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/storage/operational/sqliteStore.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/storage/operational/sqliteStore.js"},{"path":"crates/genos-store/src/lib.rs","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/crates/genos-store/src/lib.rs"}],"related":["snapshots","memory-retrieval","syncytium"],"source":"02-orchestration/topologies-et-capacites.md","routes":{"en":"/en/concepts/persistence","fr":"/fr/concepts/persistence"}},{"id":"shared-state","title":"Shared state","titleFr":"État partagé","definition":"Versioned data that multiple members can read or update under an explicit consistency policy.","definitionFr":"Un état partagé distribué exige des règles de visibilité, d'ordre et de résolution des conflits. Un magasin commun ne garantit pas la cohérence.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Distributed shared state requires rules for visibility, ordering, and conflict resolution. A common data structure does not by itself guarantee consistency or safe concurrent updates.","scienceFr":"Un état partagé distribué exige des règles de visibilité, d'ordre et de résolution des conflits. Un magasin commun ne garantit pas la cohérence.","mathematicalModel":"A versioned update carries (value, version, author). Merge function M must declare behavior for concurrent versions and preserve required invariants.","mathematicalModelFr":"Mise à jour (valeur,version,auteur) ; fusion M des versions concurrentes en préservant les invariants applicatifs.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/syncytiumService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/syncytiumService.js"},{"path":"backend/src/services/syncytiumCrdtService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/syncytiumCrdtService.js"},{"path":"backend/tests/test_syncytium_wiring.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_syncytium_wiring.js"}],"related":["syncytium","persistence","evidence"],"source":"02-orchestration/topologies/syncytium.md","routes":{"en":"/en/concepts/shared-state","fr":"/fr/concepts/shared-state"}},{"id":"model-routing","title":"Model routing","titleFr":"Routage des modèles","definition":"Selection and dispatch rules for available inference providers and execution profiles.","definitionFr":"Le routage choisit un fournisseur selon capacité, disponibilité, coût et politique. Son résultat dépend de contraintes et fournisseurs actuels.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Model routing selects a provider or execution profile according to availability, capability, cost, and policy. Routing outcomes depend on current providers and declared constraints.","scienceFr":"Le routage choisit un fournisseur selon capacité, disponibilité, coût et politique. Son résultat dépend de contraintes et fournisseurs actuels.","mathematicalModel":"Select provider p from eligible set P by minimizing declared objective J(p) subject to capability, privacy, latency, and budget constraints.","mathematicalModelFr":"Choisir p∈P admissible en minimisant J(p) sous contraintes de capacité, confidentialité, latence et budget.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/modelRouter.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/modelRouter.js"},{"path":"backend/tests/test_model_capability_routing.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_model_capability_routing.js"}],"related":["governance","identity-authority"],"source":"03-reference/contrat-produit-et-completude.md","routes":{"en":"/en/concepts/model-routing","fr":"/fr/concepts/model-routing"}},{"id":"mcp","title":"MCP interfaces","titleFr":"Interfaces MCP","definition":"Tool interfaces exposed through the Model Context Protocol with declared contracts and permissions.","definitionFr":"Un protocole définit messages et règles entre client et serveur. MCP est un contrat d'interface, pas une théorie scientifique de la cognition.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A protocol defines messages and interaction rules between clients and servers. The Model Context Protocol is an interface contract, not a scientific theory of cognition or agency.","scienceFr":"Un protocole définit messages et règles entre client et serveur. MCP est un contrat d'interface, pas une théorie scientifique de la cognition.","mathematicalModel":"A tool call is a typed request/response pair constrained by schema and authorization. Valid schema does not imply safe effect; permission checks and runtime boundaries remain necessary.","mathematicalModelFr":"Appel d'outil = requête/réponse typée sous schéma et autorisation ; un schéma valide ne garantit pas un effet sûr.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["security"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/mcpExecutor.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/mcpExecutor.js"},{"path":"backend/src/services/mcpToolRegistry.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/mcpToolRegistry.js"},{"path":"backend/tests/test_mcp_direct_call_enforcement.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_mcp_direct_call_enforcement.js"},{"path":"backend/tests/test_mcp_permission_scope_contract.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_mcp_permission_scope_contract.js"}],"related":["identity-authority","sandbox","governance"],"source":"03-reference/outils-mcp.md","routes":{"en":"/en/concepts/mcp","fr":"/fr/concepts/mcp"}},{"id":"sandbox","title":"Sandbox","titleFr":"Bac à sable","definition":"An execution boundary intended to constrain filesystem, process, or tool effects.","definitionFr":"Une sandbox limite les effets du processus et des outils. Sa robustesse dépend des primitives d'isolation et de leur configuration.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"integration-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Sandboxing is a security boundary that limits process, filesystem, network, or tool effects. Its strength depends on isolation primitives, configuration, and escape resistance; the label alone is not a security guarantee.","scienceFr":"Une sandbox limite les effets du processus et des outils. Sa robustesse dépend des primitives d'isolation et de leur configuration.","mathematicalModel":"A sandbox policy defines allowed capabilities C and requested effects R; execution should be denied when R⊄C. Resource quotas and teardown are independent controls.","mathematicalModelFr":"Pour capacités permises C et effets demandés R, refuser si R⊄C ; quotas et nettoyage sont des contrôles distincts.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["security"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/pluginSandbox.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/pluginSandbox.js"},{"path":"backend/src/services/sandboxExecutor.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/sandboxExecutor.js"},{"path":"backend/tests/test_aeis_sandbox.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_aeis_sandbox.js"}],"related":["vfs","mcp","governance"],"source":"05-securite-gouvernance/sandbox-execution-code.md","routes":{"en":"/en/concepts/sandbox","fr":"/fr/concepts/sandbox"}},{"id":"observability","title":"Observability","titleFr":"Observabilité","definition":"Events and state views used to inspect runtime behavior and its evidence trail.","definitionFr":"L'observabilité utilise journaux, mesures et traces pour inférer le comportement du système. La télémétrie absente limite la conclusion.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Observability uses logs, metrics, traces, and state views to infer system behavior. Missing or sampled telemetry limits what can be concluded about a run.","scienceFr":"L'observabilité utilise journaux, mesures et traces pour inférer le comportement du système. La télémétrie absente limite la conclusion.","mathematicalModel":"A trace is a set of attributed events with causal links. Coverage should distinguish expected events from observed events; absent telemetry is not proof an event did not occur.","mathematicalModelFr":"Trace = événements attribués et liens causaux ; distinguer événements attendus et observés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["distributed-ordering"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/controllers/telemetryController.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/controllers/telemetryController.js"},{"path":"backend/tests/test_telemetry_contract.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_telemetry_contract.js"},{"path":"backend/tests/test_evaluation_observability.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_evaluation_observability.js"}],"related":["resident-daemons","provenance","evidence"],"source":"04-exploitation/observabilite.md","routes":{"en":"/en/concepts/observability","fr":"/fr/concepts/observability"}},{"id":"identity-authority","title":"Identity & authority","titleFr":"Identité et autorité","definition":"Identity, role, and permission rules that constrain which actors may perform runtime operations.","definitionFr":"L'identification lie acteurs et droits dans une portée. Un identifiant ne prouve que ce que garantissent son émetteur et son vérificateur.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Identity and authorization systems bind actors to permissions within a scope. A credential proves only what the issuer and verifier contract support; least privilege and revocation matter.","scienceFr":"L'identification lie acteurs et droits dans une portée. Un identifiant ne prouve que ce que garantissent son émetteur et son vérificateur.","mathematicalModel":"Authorize request r when subject, action, and resource satisfy policy P and scope S. Deny by default when identity or scope is missing or ambiguous.","mathematicalModelFr":"Autoriser requête r si sujet, action et ressource satisfont politique P et portée S ; refuser les ambiguïtés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["security"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/cedarAgentAuthority.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/cedarAgentAuthority.js"},{"path":"backend/tests/test_approval_separation.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_approval_separation.js"}],"related":["governance","mcp","sandbox"],"source":"02-orchestration/topologies-et-capacites.md","routes":{"en":"/en/concepts/identity-authority","fr":"/fr/concepts/identity-authority"}},{"id":"governance","title":"Governance","titleFr":"Gouvernance","definition":"Approval, policy, and audit mechanisms that bound execution and promotion decisions.","definitionFr":"La gouvernance définit autorité, revue et responsabilité. Un workflow d'approbation n'agit que si la frontière d'exécution applique la politique.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Governance defines authority, review, and accountability around actions. An approval workflow is effective only if its identity, policy, and audit controls are enforced at the execution boundary.","scienceFr":"La gouvernance définit autorité, revue et responsabilité. Un workflow d'approbation n'agit que si la frontière d'exécution applique la politique.","mathematicalModel":"Permit action a only when policy(actor, scope, a)=allow and required approvals are present. Store the decision, policy version, and scope with the resulting receipt.","mathematicalModelFr":"Autoriser action a si politique(acteur,portée,a)=oui et approbations requises présentes ; tracer décision et version de politique.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["security"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/cedarAgentAuthority.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/cedarAgentAuthority.js"},{"path":"backend/tests/test_approval_separation.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_approval_separation.js"}],"related":["identity-authority","evidence","immune-system"],"source":"05-securite-gouvernance/README.md","routes":{"en":"/en/concepts/governance","fr":"/fr/concepts/governance"}},{"id":"workflows","title":"Workflows & jobs","titleFr":"Workflows et tâches","definition":"Persisted task graphs and jobs that coordinate execution, dependencies, and lifecycle events.","definitionFr":"Un workflow coordonne des tâches par dépendances et transitions explicites. Reprises, idempotence et annulation déterminent sa fiabilité.","family":"runtime-infrastructure","implementation":"partial","integration":"wired","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Workflow systems coordinate tasks through explicit dependencies and state transitions. Correctness depends on retry semantics, idempotence, cancellation, and recovery behavior.","scienceFr":"Un workflow coordonne des tâches par dépendances et transitions explicites. Reprises, idempotence et annulation déterminent sa fiabilité.","mathematicalModel":"A workflow is a directed graph of tasks with guarded transitions. A transition may fire only when its preconditions hold; retries should be bounded and idempotent where possible.","mathematicalModelFr":"Graphe orienté de tâches avec transitions gardées ; déclencher seulement sous préconditions, borner les reprises.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":[],"failureModes":[],"codeSources":[{"path":"backend/src/services/aTeamStageScheduler.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/aTeamStageScheduler.js"},{"path":"backend/src/services/aTeamDispatchService.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/src/services/aTeamDispatchService.js"},{"path":"backend/tests/test_ateam_work_graph.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_ateam_work_graph.js"},{"path":"backend/tests/test_ateam_stages.js","url":"https://github.com/PISSARAW/GenOS/blob/5091f70608a9305cb7bbbf5bb292d60c4c9b361e/backend/tests/test_ateam_stages.js"}],"related":["a-team","ontogenese","worker-kinds"],"source":"02-orchestration/workflows-et-jobs.md","routes":{"en":"/en/concepts/workflows","fr":"/fr/concepts/workflows"}},{"id":"mind","title":"Mind","titleFr":"Esprit","definition":"Mind is retained as a philosophical reference for discussing cognition; GenOS does not implement a mental substance or claim subjective experience.","definitionFr":"L’esprit reste une référence philosophique pour discuter de cognition ; GenOS n’implémente aucune substance mentale et ne revendique aucune expérience subjective. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Mind is retained as a philosophical reference for discussing cognition; GenOS does not implement a mental substance or claim subjective experience. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"L’esprit reste une référence philosophique pour discuter de cognition ; GenOS n’implémente aucune substance mentale et ne revendique aucune expérience subjective. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Treat mind-related statements as scoped claims M with provenance and limits; no transition M→subjective experience is licensed.","mathematicalModelFr":"Traiter les énoncés sur l’esprit comme des affirmations bornées M avec provenance ; aucune transition M→expérience subjective n’est autorisée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Mind and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["mental","consciousness","consciousness-taxonomy"],"source":"01-concepts/esprit.md","routes":{"en":"/en/concepts/mind","fr":"/fr/concepts/mind"}},{"id":"mental","title":"Mental","titleFr":"Mental","definition":"Mental denotes the family of states and processes discussed by philosophy of mind, not a single executable GenOS capability.","definitionFr":"Le mental désigne l’ensemble des états et processus discutés en philosophie de l’esprit, et non une capacité GenOS exécutable unique. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Mental denotes the family of states and processes discussed by philosophy of mind, not a single executable GenOS capability. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Le mental désigne l’ensemble des états et processus discutés en philosophie de l’esprit, et non une capacité GenOS exécutable unique. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Represent a mental-state claim as m=(property, indicator, context, uncertainty); indicators never entail phenomenology without a validated bridge.","mathematicalModelFr":"Représenter une affirmation mentale par m=(propriété, indicateur, contexte, incertitude) ; les indicateurs n’impliquent jamais la phénoménologie sans pont validé.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Mental and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["mind","consciousness","functional-consciousness"],"source":"01-concepts/mental.md","routes":{"en":"/en/concepts/mental","fr":"/fr/concepts/mental"}},{"id":"consciousness","title":"Consciousness","titleFr":"Conscience","definition":"Consciousness names subjective experience in its phenomenal sense; the GenOS registry treats it as a reference-only concept rather than a verifiable software property.","definitionFr":"La conscience désigne l’expérience subjective au sens phénoménal ; le registre GenOS la traite comme une notion de référence, non comme une propriété logicielle vérifiable. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Consciousness names subjective experience in its phenomenal sense; the GenOS registry treats it as a reference-only concept rather than a verifiable software property. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La conscience désigne l’expérience subjective au sens phénoménal ; le registre GenOS la traite comme une notion de référence, non comme une propriété logicielle vérifiable. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Observed functional indicators I under test T support only claims about I; the implication I⇒phenomenal consciousness is not established.","mathematicalModelFr":"Les indicateurs fonctionnels I observés sous test T n’étayent que des affirmations sur I ; l’implication I⇒conscience phénoménale n’est pas établie.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Consciousness and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["functional-consciousness","consciousness-states","metric-experience-boundary"],"source":"01-concepts/conscience.md","routes":{"en":"/en/concepts/consciousness","fr":"/fr/concepts/consciousness"}},{"id":"operational-consciousness","title":"Operational consciousness","titleFr":"Conscience opérationnelle","definition":"Operational consciousness is GenOS vocabulary for internal consistency regulation using dissonance, budget and bounded stop signals; it is not phenomenal consciousness.","definitionFr":"La conscience opérationnelle désigne une régulation interne de cohérence par dissonance, budget et signaux d’arrêt bornés ; ce n’est pas une conscience phénoménale. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Operational consciousness is GenOS vocabulary for internal consistency regulation using dissonance, budget and bounded stop signals; it is not phenomenal consciousness. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La conscience opérationnelle désigne une régulation interne de cohérence par dissonance, budget et signaux d’arrêt bornés ; ce n’est pas une conscience phénoménale. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Let d be a bounded dissonance score and B the remaining budget; continue only while d<τ and B>0 under an authorized policy.","mathematicalModelFr":"Soit d un score borné de dissonance et B le budget restant ; continuer seulement si d<τ et B>0 sous politique autorisée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Operational consciousness and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["cognitive-dissonance","attention","homeostasis"],"source":"01-concepts/conscience-operationnelle.md","routes":{"en":"/en/concepts/operational-consciousness","fr":"/fr/concepts/operational-consciousness"}},{"id":"functional-consciousness","title":"Functional consciousness","titleFr":"Conscience fonctionnelle","definition":"Functional consciousness groups measurable access, attention, self-model and metacognitive indicators without treating them as evidence of subjective experience.","definitionFr":"La conscience fonctionnelle regroupe des indicateurs mesurables d’accès, d’attention, d’auto-modèle et de métacognition sans les présenter comme preuve d’expérience subjective. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":true,"science":"Functional consciousness groups measurable access, attention, self-model and metacognitive indicators without treating them as evidence of subjective experience. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La conscience fonctionnelle regroupe des indicateurs mesurables d’accès, d’attention, d’auto-modèle et de métacognition sans les présenter comme preuve d’expérience subjective. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Publish an indicator vector I=(access, attention, self-model, metacognition) with test conditions and uncertainty; do not collapse it into one consciousness score.","mathematicalModelFr":"Publier le vecteur I=(accès, attention, auto-modèle, métacognition) avec conditions et incertitude, sans le réduire à un score unique de conscience.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Functional consciousness and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["functional-indicators","metacognition","self-model"],"source":"01-concepts/conscience-fonctionnelle.md","routes":{"en":"/en/concepts/functional-consciousness","fr":"/fr/concepts/functional-consciousness"}},{"id":"perception","title":"Perception","titleFr":"Perception","definition":"Perception is a bounded bridge from canonical observations to memory and control; it does not establish biological sensation or direct access to the world.","definitionFr":"La perception est un pont borné entre observations canoniques, mémoire et contrôle ; elle n’établit ni sensation biologique ni accès direct au monde. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"physiology-perception","implementation":"partial","integration":"callable","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Perception is a bounded bridge from canonical observations to memory and control; it does not establish biological sensation or direct access to the world. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La perception est un pont borné entre observations canoniques, mémoire et contrôle ; elle n’établit ni sensation biologique ni accès direct au monde. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Map signed observation o through normalization N and scope S before memory insertion: p=N(o,S); missing provenance makes p inadmissible.","mathematicalModelFr":"Transformer l’observation signée o par normalisation N et portée S avant mémorisation : p=N(o,S) ; sans provenance, p est inadmissible.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["embodied-control"],"useCases":["Define Perception and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["sensorium","attention","episodic-memory"],"source":"01-concepts/perception.md","routes":{"en":"/en/concepts/perception","fr":"/fr/concepts/perception"}},{"id":"interoception","title":"Interoception","titleFr":"Intéroception","definition":"Interoception reads internal software signals such as budget, dissonance and health for allostatic planning; it is not visceral sensation.","definitionFr":"L’intéroception lit des signaux logiciels internes comme le budget, la dissonance et la santé pour la planification allostatique ; ce n’est pas une sensation viscérale. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"physiology-perception","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Interoception reads internal software signals such as budget, dissonance and health for allostatic planning; it is not visceral sensation. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"L’intéroception lit des signaux logiciels internes comme le budget, la dissonance et la santé pour la planification allostatique ; ce n’est pas une sensation viscérale. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Aggregate scoped internal signals x into state i=f(x); an allostatic proposal is admissible only when freshness, authority and budget gates pass.","mathematicalModelFr":"Agréger les signaux internes bornés x en état i=f(x) ; une proposition allostatique n’est admissible qu’après contrôles de fraîcheur, autorité et budget.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["embodied-control"],"useCases":["Define Interoception and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["homeostasis","metabolism","cognitive-dissonance"],"source":"01-concepts/interoception.md","routes":{"en":"/en/concepts/interoception","fr":"/fr/concepts/interoception"}},{"id":"imagination","title":"Imagination","titleFr":"Imagination","definition":"Imagination recombines stored fragments into bounded candidate scenarios; generated possibilities remain simulations rather than observations.","definitionFr":"L’imagination recombine des fragments mémorisés en scénarios candidats bornés ; ces possibilités restent des simulations et non des observations. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Imagination recombines stored fragments into bounded candidate scenarios; generated possibilities remain simulations rather than observations. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"L’imagination recombine des fragments mémorisés en scénarios candidats bornés ; ces possibilités restent des simulations et non des observations. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Generate candidate c=R(f₁,…,fₙ,seed) under constraints K; retain it only as hypothetical until a separate verifier evaluates its consequences.","mathematicalModelFr":"Générer le candidat c=R(f₁,…,fₙ,graine) sous contraintes K ; il reste hypothétique jusqu’à l’évaluation par un vérificateur séparé.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Imagination and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["internal-simulation","counterfactual-workspaces","evidence"],"source":"01-concepts/imagination-et-simulation.md","routes":{"en":"/en/concepts/imagination","fr":"/fr/concepts/imagination"}},{"id":"internal-simulation","title":"Internal simulation","titleFr":"Simulation interne","definition":"Internal simulation predicts possible outcomes before execution using an explicit trace; its result is advisory and never proof of the real outcome.","definitionFr":"La simulation interne prédit des issues possibles avant exécution au moyen d’une trace explicite ; son résultat reste consultatif et ne prouve jamais l’issue réelle. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Internal simulation predicts possible outcomes before execution using an explicit trace; its result is advisory and never proof of the real outcome. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La simulation interne prédit des issues possibles avant exécution au moyen d’une trace explicite ; son résultat reste consultatif et ne prouve jamais l’issue réelle. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"For state s and candidate action a, compute simulated trace τ=T̂(s,a); compare τ with later observation using a declared error rule.","mathematicalModelFr":"Pour l’état s et l’action candidate a, calculer la trace simulée τ=T̂(s,a), puis la comparer à l’observation ultérieure par une règle d’erreur déclarée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Internal simulation and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["imagination","predictive-system","counterfactual-workspaces"],"source":"01-concepts/imagination-et-simulation.md","routes":{"en":"/en/concepts/internal-simulation","fr":"/fr/concepts/internal-simulation"}},{"id":"reflection","title":"Reflection","titleFr":"Réflexion","definition":"Reflection monitors reported confidence and errors so a system can revise or abstain; it does not demonstrate phenomenal reflexivity.","definitionFr":"La réflexion surveille confiance déclarée et erreurs afin de réviser ou de s’abstenir ; elle ne démontre aucune réflexivité phénoménale. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":true,"science":"Reflection monitors reported confidence and errors so a system can revise or abstain; it does not demonstrate phenomenal reflexivity. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La réflexion surveille confiance déclarée et erreurs afin de réviser ou de s’abstenir ; elle ne démontre aucune réflexivité phénoménale. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Compare confidence p with resolved outcome y and error history H; trigger review when calibration loss L(p,y,H) exceeds threshold τ.","mathematicalModelFr":"Comparer la confiance p au résultat résolu y et à l’historique H ; déclencher une revue lorsque la perte de calibration L(p,y,H) dépasse τ.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Reflection and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["metacognition","calibration","self-model"],"source":"01-concepts/reflexion.md","routes":{"en":"/en/concepts/reflection","fr":"/fr/concepts/reflection"}},{"id":"metacognition","title":"Metacognition","titleFr":"Métacognition","definition":"Metacognition measures confidence, discrimination and overconfidence on resolved attribution history; it is a functional evaluation, not meta-consciousness.","definitionFr":"La métacognition mesure confiance, discrimination et surconfiance sur un historique d’attributions résolues ; c’est une évaluation fonctionnelle, non une méta-conscience. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":true,"science":"Metacognition measures confidence, discrimination and overconfidence on resolved attribution history; it is a functional evaluation, not meta-consciousness. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La métacognition mesure confiance, discrimination et surconfiance sur un historique d’attributions résolues ; c’est une évaluation fonctionnelle, non une méta-conscience. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Estimate ECE, Brier loss and type-2 discrimination on resolved trials; conclusions require declared sample size and outcome labels.","mathematicalModelFr":"Estimer ECE, perte de Brier et discrimination de type 2 sur essais résolus ; toute conclusion exige taille d’échantillon et labels déclarés.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Metacognition and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["reflection","calibration","brier-calibration"],"source":"01-concepts/metacognition.md","routes":{"en":"/en/concepts/metacognition","fr":"/fr/concepts/metacognition"}},{"id":"calibration","title":"Calibration","titleFr":"Calibration","definition":"Calibration compares stated confidence with resolved outcomes and updates confidence conservatively; it never makes evidence more permissive by itself.","definitionFr":"La calibration compare la confiance déclarée aux résultats résolus et l’actualise prudemment ; elle ne rend jamais la preuve plus permissive à elle seule. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":true,"science":"Calibration compares stated confidence with resolved outcomes and updates confidence conservatively; it never makes evidence more permissive by itself. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La calibration compare la confiance déclarée aux résultats résolus et l’actualise prudemment ; elle ne rend jamais la preuve plus permissive à elle seule. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"A bounded update is pₜ₊₁=pₜ+η(yₜ−pₜ), 0≤η≤1; evaluate calibration separately with ECE and Brier score.","mathematicalModelFr":"Une mise à jour bornée est pₜ₊₁=pₜ+η(yₜ−pₜ), 0≤η≤1 ; évaluer séparément la calibration par ECE et score de Brier.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Calibration and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["metacognition","brier-calibration","beliefs"],"source":"01-concepts/calibration.md","routes":{"en":"/en/concepts/calibration","fr":"/fr/concepts/calibration"}},{"id":"cognitive-dissonance","title":"Cognitive dissonance","titleFr":"Dissonance cognitive","definition":"Cognitive dissonance is a software inconsistency signal derived from errors, repetition, drift and health; it is not a clinical or subjective diagnosis.","definitionFr":"La dissonance cognitive est un signal logiciel d’incohérence dérivé des erreurs, répétitions, dérives et états de santé ; ce n’est ni un diagnostic clinique ni subjectif. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Cognitive dissonance is a software inconsistency signal derived from errors, repetition, drift and health; it is not a clinical or subjective diagnosis. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La dissonance cognitive est un signal logiciel d’incohérence dérivé des erreurs, répétitions, dérives et états de santé ; ce n’est ni un diagnostic clinique ni subjectif. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Compute d=clamp01(wᵀx) from declared signals x; crossing threshold τ requests a bounded stop or review rather than proving a pathology.","mathematicalModelFr":"Calculer d=clamp01(wᵀx) à partir des signaux déclarés x ; dépasser τ demande un arrêt ou une revue bornée sans prouver une pathologie.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define Cognitive dissonance and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["contradictions","operational-consciousness","homeostasis"],"source":"01-concepts/conscience-operationnelle.md","routes":{"en":"/en/concepts/cognitive-dissonance","fr":"/fr/concepts/cognitive-dissonance"}},{"id":"autobiographical-memory","title":"Autobiographical memory","titleFr":"Mémoire autobiographique","definition":"Autobiographical memory stores salient agent episodes, lessons and conditional recall; stored history remains fallible and must be revalidated before use.","definitionFr":"La mémoire autobiographique conserve épisodes saillants, leçons et rappels conditionnels ; cet historique reste faillible et doit être revalidé avant usage. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"memory-learning","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Autobiographical memory stores salient agent episodes, lessons and conditional recall; stored history remains fallible and must be revalidated before use. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La mémoire autobiographique conserve épisodes saillants, leçons et rappels conditionnels ; cet historique reste faillible et doit être revalidé avant usage. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Store episode e=(identity,context,action,outcome,provenance,salience); retrieval ranks eligible e but cannot promote its lesson without fresh checks.","mathematicalModelFr":"Stocker l’épisode e=(identité,contexte,action,résultat,provenance,saillance) ; le rappel classe les épisodes admissibles sans promouvoir leur leçon sans nouveau contrôle.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["episodic-memory"],"useCases":["Define Autobiographical memory and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["episodic-memory","self-model","memory-retrieval"],"source":"01-concepts/memoire-et-apprentissage.md","routes":{"en":"/en/concepts/autobiographical-memory","fr":"/fr/concepts/autobiographical-memory"}},{"id":"consciousness-states","title":"States of consciousness","titleFr":"États de conscience","definition":"States of consciousness are retained as a reference taxonomy; GenOS may expose functional levels but does not measure phenomenal states.","definitionFr":"Les états de conscience restent une taxonomie de référence ; GenOS peut exposer des niveaux fonctionnels mais ne mesure aucun état phénoménal. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"cognition-control","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"States of consciousness are retained as a reference taxonomy; GenOS may expose functional levels but does not measure phenomenal states. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Les états de conscience restent une taxonomie de référence ; GenOS peut exposer des niveaux fonctionnels mais ne mesure aucun état phénoménal. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"A functional level L may summarize declared indicators under test T; L is not an estimator of phenomenal state P.","mathematicalModelFr":"Un niveau fonctionnel L peut résumer des indicateurs déclarés sous test T ; L n’est pas un estimateur d’un état phénoménal P.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["neuron-model"],"useCases":["Define States of consciousness and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["consciousness","functional-consciousness","metric-experience-boundary"],"source":"01-concepts/etats-de-conscience.md","routes":{"en":"/en/concepts/consciousness-states","fr":"/fr/concepts/consciousness-states"}},{"id":"metric-experience-boundary","title":"Metric–experience boundary","titleFr":"Limite métrique–expérience","definition":"The metric–experience boundary prevents functional scores from being reported as evidence of subjective experience.","definitionFr":"La limite métrique–expérience empêche de présenter des scores fonctionnels comme preuve d’expérience subjective. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"conceptual","integration":"isolated","evidence":"none","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The metric–experience boundary prevents functional scores from being reported as evidence of subjective experience. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La limite métrique–expérience empêche de présenter des scores fonctionnels comme preuve d’expérience subjective. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"For any measured metric m and phenomenal claim P, m supports only its operational definition; infer P only if a separately validated bridge m⇒P exists.","mathematicalModelFr":"Pour toute métrique m et affirmation phénoménale P, m n’étaye que sa définition opérationnelle ; inférer P exige un pont m⇒P validé séparément.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Metric–experience boundary and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["consciousness","functional-indicators","evidence"],"source":"01-concepts/limites-metrique-experience.md","routes":{"en":"/en/concepts/metric-experience-boundary","fr":"/fr/concepts/metric-experience-boundary"}},{"id":"falsifiable-hypothesis","title":"Falsifiable hypothesis","titleFr":"Hypothèse falsifiable","definition":"A falsifiable hypothesis is an explicit proposition paired with observations that could contradict it.","definitionFr":"Une hypothèse falsifiable est une proposition explicite accompagnée d’observations susceptibles de la contredire. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A falsifiable hypothesis is an explicit proposition paired with observations that could contradict it. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Une hypothèse falsifiable est une proposition explicite accompagnée d’observations susceptibles de la contredire. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Represent h=(statement,preconditions,falsifier,confidence); h remains open until an admissible observation resolves or revises it.","mathematicalModelFr":"Représenter h=(énoncé,préconditions,falsificateur,confiance) ; h reste ouverte jusqu’à une observation admissible qui la résout ou la révise.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Falsifiable hypothesis and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["claims","counterexample","hypothesis-ledger"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/falsifiable-hypothesis","fr":"/fr/concepts/falsifiable-hypothesis"}},{"id":"hypothesis-ledger","title":"Hypothesis ledger","titleFr":"Registre d’hypothèses","definition":"The hypothesis ledger preserves hypotheses, falsifications and revisions as append-only history instead of silently replacing prior states.","definitionFr":"Le registre d’hypothèses conserve hypothèses, falsifications et révisions dans un historique append-only au lieu de remplacer silencieusement les états antérieurs. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The hypothesis ledger preserves hypotheses, falsifications and revisions as append-only history instead of silently replacing prior states. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Le registre d’hypothèses conserve hypothèses, falsifications et révisions dans un historique append-only au lieu de remplacer silencieusement les états antérieurs. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Ledger H=(h₀,e₁,h₁,…), where each transition binds its predecessor and evidence; history preservation does not decide which theory is true.","mathematicalModelFr":"Registre H=(h₀,e₁,h₁,…), chaque transition liant prédécesseur et preuve ; conserver l’historique ne décide pas quelle théorie est vraie.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Hypothesis ledger and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["falsifiable-hypothesis","belief-revision","provenance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/hypothesis-ledger","fr":"/fr/concepts/hypothesis-ledger"}},{"id":"prediction","title":"Prediction","titleFr":"Prédiction","definition":"A prediction states an observable expected outcome from a model or hypothesis before that outcome is resolved.","definitionFr":"Une prédiction énonce une issue observable attendue depuis un modèle ou une hypothèse avant sa résolution. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A prediction states an observable expected outcome from a model or hypothesis before that outcome is resolved. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Une prédiction énonce une issue observable attendue depuis un modèle ou une hypothèse avant sa résolution. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Record forecast f=(event,p,time,model); score it only after a matching outcome y is resolved under the declared rule.","mathematicalModelFr":"Enregistrer la prévision f=(événement,p,temps,modèle), puis la scorer seulement après résolution de l’issue y correspondante selon la règle déclarée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Prediction and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["predictive-system","falsifiable-hypothesis","calibration"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/prediction","fr":"/fr/concepts/prediction"}},{"id":"counterexample","title":"Counterexample","titleFr":"Contre-exemple","definition":"A counterexample is an observation satisfying a claim’s preconditions while contradicting its predicted consequence.","definitionFr":"Un contre-exemple est une observation qui satisfait les préconditions d’une affirmation tout en contredisant sa conséquence prédite. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A counterexample is an observation satisfying a claim’s preconditions while contradicting its predicted consequence. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Un contre-exemple est une observation qui satisfait les préconditions d’une affirmation tout en contredisant sa conséquence prédite. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"For claim ∀x∈D:P(x), witness x*∈D with ¬P(x*) refutes it under the same domain and assumptions.","mathematicalModelFr":"Pour l’affirmation ∀x∈D:P(x), un témoin x*∈D tel que ¬P(x*) la réfute sous le même domaine et les mêmes hypothèses.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Counterexample and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["falsifiable-hypothesis","counterexample-cambium","evidence"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/counterexample","fr":"/fr/concepts/counterexample"}},{"id":"direct-evidence","title":"Direct evidence","titleFr":"Preuve directe","definition":"Direct evidence is a receipt, test output or artifact explicitly associated with a claim; association alone does not establish business truth.","definitionFr":"Une preuve directe est un reçu, une sortie de test ou un artefact explicitement associé à une affirmation ; l’association seule n’établit pas sa vérité métier. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Direct evidence is a receipt, test output or artifact explicitly associated with a claim; association alone does not establish business truth. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Une preuve directe est un reçu, une sortie de test ou un artefact explicitement associé à une affirmation ; l’association seule n’établit pas sa vérité métier. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Evidence e directly supports claim c only when relation R(e,c), provenance and method are explicit and integrity checks pass.","mathematicalModelFr":"La preuve e soutient directement l’affirmation c seulement si R(e,c), provenance et méthode sont explicites et si l’intégrité est vérifiée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Direct evidence and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["evidence","claims","independent-evidence"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/direct-evidence","fr":"/fr/concepts/direct-evidence"}},{"id":"independent-evidence","title":"Independent evidence","titleFr":"Preuve indépendante","definition":"Independent evidence comes from a producer sufficiently separate from the claimant under a declared independence policy.","definitionFr":"Une preuve indépendante provient d’un producteur suffisamment distinct de l’auteur de l’affirmation selon une politique d’indépendance déclarée. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Independent evidence comes from a producer sufficiently separate from the claimant under a declared independence policy. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Une preuve indépendante provient d’un producteur suffisamment distinct de l’auteur de l’affirmation selon une politique d’indépendance déclarée. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Accept independence only if producer(e)∉dependencyClass(claimant) and identity, key and causal-origin checks satisfy policy P.","mathematicalModelFr":"Accepter l’indépendance seulement si producteur(e)∉classeDépendance(auteur) et si identité, clé et origine causale satisfont la politique P.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Independent evidence and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["direct-evidence","relational-physiology","evidence-barrier"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/independent-evidence","fr":"/fr/concepts/independent-evidence"}},{"id":"evidence-reception","title":"Evidence reception","titleFr":"Réception de preuve","definition":"Evidence reception validates and normalizes an incoming evidence report before attaching it to a worker or claim dossier.","definitionFr":"La réception de preuve valide et normalise un rapport entrant avant de l’attacher au dossier d’un worker ou d’une affirmation. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Evidence reception validates and normalizes an incoming evidence report before attaching it to a worker or claim dossier. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La réception de preuve valide et normalise un rapport entrant avant de l’attacher au dossier d’un worker ou d’une affirmation. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Normalize report r only when schema(r), scope(r), integrity(r) and attribution(r) pass; otherwise preserve a refusal receipt.","mathematicalModelFr":"Normaliser le rapport r seulement si schéma(r), portée(r), intégrité(r) et attribution(r) passent ; sinon conserver un reçu de refus.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Evidence reception and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["evidence","provenance","direct-evidence"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/evidence-reception","fr":"/fr/concepts/evidence-reception"}},{"id":"grounding","title":"Grounding","titleFr":"Ancrage opérationnel","definition":"Grounding links a symbolic claim to observations or artifacts that connect it to an operational context.","definitionFr":"L’ancrage opérationnel relie une affirmation symbolique aux observations ou artefacts qui la rattachent à un contexte d’exécution. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Grounding links a symbolic claim to observations or artifacts that connect it to an operational context. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"L’ancrage opérationnel relie une affirmation symbolique aux observations ou artefacts qui la rattachent à un contexte d’exécution. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"A claim c is grounded relative to context K when a traceable relation G(c,o,K) exists for admissible observation o; grounding is scope-relative.","mathematicalModelFr":"Une affirmation c est ancrée relativement au contexte K lorsqu’une relation traçable G(c,o,K) existe pour une observation admissible o ; l’ancrage dépend de la portée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Grounding and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["claims","evidence","provenance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/grounding","fr":"/fr/concepts/grounding"}},{"id":"epistemic-state","title":"Epistemic state","titleFr":"État épistémique","definition":"An epistemic state records evidence quality, derived confidence, phase and unresolved epistemic debt for a claim or belief.","definitionFr":"Un état épistémique enregistre qualité des preuves, confiance dérivée, phase et dette épistémique non résolue d’une affirmation ou croyance. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"An epistemic state records evidence quality, derived confidence, phase and unresolved epistemic debt for a claim or belief. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Un état épistémique enregistre qualité des preuves, confiance dérivée, phase et dette épistémique non résolue d’une affirmation ou croyance. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"State E=(claim,evidence,confidence,phase,debt,version); transitions must preserve provenance and may not erase contrary evidence.","mathematicalModelFr":"État E=(affirmation,preuves,confiance,phase,dette,version) ; les transitions préservent la provenance et n’effacent pas les preuves contraires.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Epistemic state and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["beliefs","evidence","unverified-result"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/epistemic-state","fr":"/fr/concepts/epistemic-state"}},{"id":"formal-result","title":"Formal result","titleFr":"Résultat formel","definition":"A formal result is produced by a deterministic procedure with a bound receipt and declared verification semantics.","definitionFr":"Un résultat formel est produit par une procédure déterministe avec reçu lié et sémantique de vérification déclarée. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"formal-verification","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A formal result is produced by a deterministic procedure with a bound receipt and declared verification semantics. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Un résultat formel est produit par une procédure déterministe avec reçu lié et sémantique de vérification déclarée. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Result r=(input,procedure,version,output,receipt); VERIFIED is permitted only when the declared checker accepts the exact bound tuple.","mathematicalModelFr":"Résultat r=(entrée,procédure,version,sortie,reçu) ; VERIFIED n’est permis que si le contrôleur déclaré accepte exactement ce tuple lié.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["program-correctness"],"useCases":["Define Formal result and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["deterministic-verification","proof-artifact","unverified-result"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/formal-result","fr":"/fr/concepts/formal-result"}},{"id":"unverified-result","title":"Unverified result","titleFr":"Résultat non vérifié","definition":"An unverified result is archived as provisional with explicit epistemic debt and cannot support promotion.","definitionFr":"Un résultat non vérifié est archivé comme provisoire avec une dette épistémique explicite et ne peut soutenir une promotion. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"An unverified result is archived as provisional with explicit epistemic debt and cannot support promotion. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Un résultat non vérifié est archivé comme provisoire avec une dette épistémique explicite et ne peut soutenir une promotion. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"If verifier(r)=missing or inconclusive, status(r)=PROVISIONAL and promotionEligible(r)=false regardless of transport success.","mathematicalModelFr":"Si verifier(r)=absent ou inconclusif, statut(r)=PROVISOIRE et promotionEligible(r)=false malgré tout succès de transport.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Unverified result and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["formal-result","epistemic-state","promotion-eligibility"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/unverified-result","fr":"/fr/concepts/unverified-result"}},{"id":"promotion-eligibility","title":"Promotion eligibility","titleFr":"Éligibilité à la promotion","definition":"Promotion eligibility is an explicit decision that is true only when every policy obligation for a candidate is satisfied.","definitionFr":"L’éligibilité à la promotion est une décision explicite vraie seulement lorsque toutes les obligations de politique du candidat sont satisfaites. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Promotion eligibility is an explicit decision that is true only when every policy obligation for a candidate is satisfied. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"L’éligibilité à la promotion est une décision explicite vraie seulement lorsque toutes les obligations de politique du candidat sont satisfaites. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"eligible(c)=∧ᵢPᵢ(c); one failed, missing or stale mandatory predicate makes eligible(c)=false.","mathematicalModelFr":"eligible(c)=∧ᵢPᵢ(c) ; un prédicat obligatoire faux, absent ou périmé rend eligible(c)=false.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Promotion eligibility and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["promotion-gate","evidence-barrier","governance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/promotion-eligibility","fr":"/fr/concepts/promotion-eligibility"}},{"id":"belief-revision","title":"Belief revision","titleFr":"Révision de croyance","definition":"Belief revision updates a versioned claim when new relevant evidence arrives while retaining the prior state and contrary evidence.","definitionFr":"La révision de croyance actualise une affirmation versionnée lorsque de nouvelles preuves pertinentes arrivent, tout en conservant l’état antérieur et les preuves contraires. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Belief revision updates a versioned claim when new relevant evidence arrives while retaining the prior state and contrary evidence. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La révision de croyance actualise une affirmation versionnée lorsque de nouvelles preuves pertinentes arrivent, tout en conservant l’état antérieur et les preuves contraires. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Revision B*e produces version B′ under rule *, with provenance and contradiction set retained; confidence change alone is not truth.","mathematicalModelFr":"La révision B*e produit la version B′ selon la règle *, avec provenance et contradictions conservées ; changer la confiance ne crée pas la vérité.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Belief revision and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["beliefs","contradictions","hypothesis-ledger"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/belief-revision","fr":"/fr/concepts/belief-revision"}},{"id":"epistemic-dissonance","title":"Epistemic dissonance","titleFr":"Dissonance épistémique","definition":"Epistemic dissonance records conflict between beliefs and evidence or among incompatible beliefs without silently resolving it.","definitionFr":"La dissonance épistémique consigne le conflit entre croyances et preuves ou entre croyances incompatibles sans le résoudre silencieusement. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Epistemic dissonance records conflict between beliefs and evidence or among incompatible beliefs without silently resolving it. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La dissonance épistémique consigne le conflit entre croyances et preuves ou entre croyances incompatibles sans le résoudre silencieusement. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"D(B,E)=set of unresolved contradiction edges; a non-empty D requests review but does not select the winning claim.","mathematicalModelFr":"D(B,E)=ensemble des liens de contradiction non résolus ; D non vide demande une revue sans choisir l’affirmation gagnante.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Epistemic dissonance and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["contradictions","beliefs","cognitive-dissonance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/epistemic-dissonance","fr":"/fr/concepts/epistemic-dissonance"}},{"id":"bias","title":"Bias","titleFr":"Biais","definition":"Bias denotes systematic steering or calibration error detected under a declared probe; a detected pattern requires scoped interpretation.","definitionFr":"Le biais désigne une erreur systématique de steering ou de calibration détectée par une sonde déclarée ; le motif observé exige une interprétation bornée. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":true,"science":"Bias denotes systematic steering or calibration error detected under a declared probe; a detected pattern requires scoped interpretation. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Le biais désigne une erreur systématique de steering ou de calibration détectée par une sonde déclarée ; le motif observé exige une interprétation bornée. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Estimate bias b=E[ŷ−y|G] or a declared steering contrast between matched groups G; report uncertainty and sampling limits.","mathematicalModelFr":"Estimer le biais b=E[ŷ−y|G] ou un contraste de steering déclaré entre groupes appariés G ; publier incertitude et limites d’échantillonnage.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Bias and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["metacognition","calibration","evidence"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/bias","fr":"/fr/concepts/bias"}},{"id":"hallucination","title":"Hallucination indicator","titleFr":"Indicateur d’hallucination","definition":"The hallucination concept marks observable software conditions such as unsupported claims, untested code proposals, placeholders or empty values; it is not a medical diagnosis.","definitionFr":"Le concept d’hallucination marque des conditions logicielles observables comme affirmations sans preuve, code non testé, placeholders ou valeurs vides ; ce n’est pas un diagnostic médical. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"The hallucination concept marks observable software conditions such as unsupported claims, untested code proposals, placeholders or empty values; it is not a medical diagnosis. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Le concept d’hallucination marque des conditions logicielles observables comme affirmations sans preuve, code non testé, placeholders ou valeurs vides ; ce n’est pas un diagnostic médical. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Indicator h(x)=1 when a declared unsupported-output predicate holds; estimate false positives and negatives before interpreting h as quality evidence.","mathematicalModelFr":"L’indicateur h(x)=1 lorsqu’un prédicat déclaré de sortie non étayée est vrai ; estimer faux positifs et négatifs avant d’interpréter h comme preuve de qualité.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Hallucination indicator and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["claims","evidence","hallucination-monitoring"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/hallucination","fr":"/fr/concepts/hallucination"}},{"id":"hallucination-monitoring","title":"Hallucination monitoring","titleFr":"Surveillance des hallucinations","definition":"Hallucination monitoring continuously records declared unsupported-claim indicators and their context without converting counts into truth judgments.","definitionFr":"La surveillance des hallucinations enregistre en continu les indicateurs déclarés d’affirmations non étayées et leur contexte sans transformer les comptes en jugement de vérité. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Hallucination monitoring continuously records declared unsupported-claim indicators and their context without converting counts into truth judgments. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La surveillance des hallucinations enregistre en continu les indicateurs déclarés d’affirmations non étayées et leur contexte sans transformer les comptes en jugement de vérité. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"For observation stream O, count h(oₜ) by scope and window; alert policy A must preserve denominator, provenance and unresolved status.","mathematicalModelFr":"Pour le flux O, compter h(oₜ) par portée et fenêtre ; la politique d’alerte A conserve dénominateur, provenance et statut non résolu.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Hallucination monitoring and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["hallucination","observability","evidence"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/hallucination-monitoring","fr":"/fr/concepts/hallucination-monitoring"}},{"id":"weighted-consensus","title":"Weighted consensus","titleFr":"Consensus pondéré","definition":"Weighted consensus aggregates attributed agent contributions while preserving dependence and uncertainty; agreement is not automatic truth.","definitionFr":"Le consensus pondéré agrège des contributions attribuées en conservant dépendances et incertitude ; l’accord n’est pas automatiquement vrai. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"collective-intelligence","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Weighted consensus aggregates attributed agent contributions while preserving dependence and uncertainty; agreement is not automatic truth. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Le consensus pondéré agrège des contributions attribuées en conservant dépendances et incertitude ; l’accord n’est pas automatiquement vrai. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Aggregate score S=Σᵢwᵢvᵢ/Σᵢwᵢ only for eligible, attributed inputs; dependent sources require adjusted effective weight.","mathematicalModelFr":"Agréger S=Σᵢwᵢvᵢ/Σᵢwᵢ seulement pour entrées admissibles et attribuées ; les sources dépendantes exigent un poids effectif ajusté.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["information-channel"],"useCases":["Define Weighted consensus and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["biocenose","relational-physiology","quorum-abstention"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/weighted-consensus","fr":"/fr/concepts/weighted-consensus"}},{"id":"quorum-abstention","title":"Quorum with abstention","titleFr":"Quorum avec abstention","definition":"Quorum with abstention refuses a collective decision when integrity, confidence or uncertainty conditions do not support one.","definitionFr":"Le quorum avec abstention refuse une décision collective lorsque intégrité, confiance ou incertitude ne permettent pas de trancher. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"collective-intelligence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Quorum with abstention refuses a collective decision when integrity, confidence or uncertainty conditions do not support one. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Le quorum avec abstention refuse une décision collective lorsque intégrité, confiance ou incertitude ne permettent pas de trancher. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Abstain when integrity<0.6, uncertainty≥0.8, or confidence<floor with uncertainty≥0.5; thresholds remain policy parameters.","mathematicalModelFr":"S’abstenir si intégrité<0,6, incertitude≥0,8, ou confiance<plancher avec incertitude≥0,5 ; les seuils restent des paramètres de politique.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["information-channel"],"useCases":["Define Quorum with abstention and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["weighted-consensus","biocenose","governance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/quorum-abstention","fr":"/fr/concepts/quorum-abstention"}},{"id":"evidence-barrier","title":"Evidence barrier","titleFr":"Barrière d’évidence","definition":"An evidence barrier checks that every cited claim and artifact belongs to the attributed source dossier before a collective result can advance.","definitionFr":"Une barrière d’évidence vérifie que chaque affirmation et artefact cité appartient bien au dossier source attribué avant qu’un résultat collectif avance. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"An evidence barrier checks that every cited claim and artifact belongs to the attributed source dossier before a collective result can advance. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Une barrière d’évidence vérifie que chaque affirmation et artefact cité appartient bien au dossier source attribué avant qu’un résultat collectif avance. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Barrier passes only if ∀ reference r, exists bound source artifact a with integrity(a)=valid and relation(r,a)=declared.","mathematicalModelFr":"La barrière passe seulement si, pour toute référence r, il existe un artefact source lié a, intègre, avec relation(r,a) déclarée.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Evidence barrier and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["evidence","independent-evidence","promotion-gate"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/evidence-barrier","fr":"/fr/concepts/evidence-barrier"}},{"id":"promotion-gate","title":"Promotion gate","titleFr":"Porte de promotion","definition":"A promotion gate applies the candidate’s declared replay, independent-verification, approval and preservation policies before any integration.","definitionFr":"Une porte de promotion applique les politiques déclarées de rejeu, vérification indépendante, approbation et conservation avant toute intégration. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"knowledge-evidence","implementation":"implemented","integration":"callable","evidence":"unit-tested","biologyInspired":false,"hasMathematics":true,"hasSimulation":false,"hasInteractiveModel":true,"hasBenchmark":false,"science":"A promotion gate applies the candidate’s declared replay, independent-verification, approval and preservation policies before any integration. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Une porte de promotion applique les politiques déclarées de rejeu, vérification indépendante, approbation et conservation avant toute intégration. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Promote candidate c only when eligibility(c), authority(c), freshness(c) and all mandatory contract predicates hold atomically.","mathematicalModelFr":"Promouvoir le candidat c seulement si éligibilité(c), autorité(c), fraîcheur(c) et tous les prédicats obligatoires du contrat tiennent atomiquement.","biologicalInspiration":null,"biologicalInspirationFr":null,"literatureMechanisms":["experimental-design"],"useCases":["Define Promotion gate and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["promotion-eligibility","evidence-barrier","governance"],"source":"01-concepts/epistemologie-et-evidence.md","routes":{"en":"/en/concepts/promotion-gate","fr":"/fr/concepts/promotion-gate"}},{"id":"agent-ecosystem","title":"Agent ecosystem","titleFr":"Écosystème agentique","definition":"An agent ecosystem relates agents, niches and biomes through explicit capability and resource constraints; it is a software ecology analogy.","definitionFr":"Un écosystème agentique relie agents, niches et biomes par des contraintes explicites de capacité et de ressources ; il s’agit d’une analogie d’écologie logicielle. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"evolution-ecology","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"An agent ecosystem relates agents, niches and biomes through explicit capability and resource constraints; it is a software ecology analogy. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"Un écosystème agentique relie agents, niches et biomes par des contraintes explicites de capacité et de ressources ; il s’agit d’une analogie d’écologie logicielle. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Assign agent a to niche n only if required(n)⊆capabilities(a) and resource demand fits the biome budget; measure occupancy and outcome separately.","mathematicalModelFr":"Affecter l’agent a à la niche n seulement si besoins(n)⊆capacités(a) et si la demande tient dans le budget du biome ; mesurer occupation et résultat séparément.","biologicalInspiration":"Ecology studies organisms, niches and resource relations. GenOS borrows this structure for software agents without implying living populations.","biologicalInspirationFr":"L’écologie étudie organismes, niches et relations de ressources. GenOS reprend cette structure pour des agents logiciels sans impliquer de populations vivantes.","literatureMechanisms":["selection"],"useCases":["Define Agent ecosystem and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["niches","biome","populations"],"source":"01-concepts/ecosysteme-agentique.md","routes":{"en":"/en/concepts/agent-ecosystem","fr":"/fr/concepts/agent-ecosystem"}},{"id":"genomic-stability","title":"Genomic stability","titleFr":"Stabilité génomique","definition":"Genomic stability tracks mutation rates, anomalies and Stable, Compromised or Critical thresholds in versioned software genomes.","definitionFr":"La stabilité génomique suit taux de mutation, anomalies et seuils Stable, Compromised ou Critical dans des génomes logiciels versionnés. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","family":"identity-development","implementation":"partial","integration":"callable","evidence":"unit-tested","biologyInspired":true,"hasMathematics":true,"hasSimulation":true,"hasInteractiveModel":true,"hasBenchmark":false,"science":"Genomic stability tracks mutation rates, anomalies and Stable, Compromised or Critical thresholds in versioned software genomes. The distinction between an observable software indicator and the broader scientific or philosophical construct must remain explicit.","scienceFr":"La stabilité génomique suit taux de mutation, anomalies et seuils Stable, Compromised ou Critical dans des génomes logiciels versionnés. La distinction entre un indicateur logiciel observable et le construit scientifique ou philosophique plus large doit rester explicite.","mathematicalModel":"Compute risk r=f(mutationRate,anomalyCount,integritySignals); classify state by declared thresholds and require authority before repair or replacement.","mathematicalModelFr":"Calculer le risque r=f(tauxMutation,nombreAnomalies,signauxIntégrité), classer selon les seuils déclarés et exiger une autorité avant réparation ou remplacement.","biologicalInspiration":"Biological genome maintenance motivates integrity checks, but GenOS evaluates versioned software structures rather than DNA damage or cellular repair.","biologicalInspirationFr":"La maintenance du génome biologique inspire les contrôles d’intégrité, mais GenOS évalue des structures logicielles versionnées, non des lésions d’ADN ou réparations cellulaires.","literatureMechanisms":["genetic-structure"],"useCases":["Define Genomic stability and its scope","Inspect the bounded mechanism or indicator","Check evidence, limits and authority"],"failureModes":["An operational indicator can be overgeneralized into a broader scientific, philosophical or product claim.","Missing provenance, stale observations or absent independent checks can make a plausible result inadmissible."],"codeSources":[],"related":["genome","mutation","genetic-pathology"],"source":"01-concepts/stabilite-genomique.md","routes":{"en":"/en/concepts/genomic-stability","fr":"/fr/concepts/genomic-stability"}}],"sourceCommit":"5091f70608a9305cb7bbbf5bb292d60c4c9b361e"}