A bounded model of agent identity and continuity used for analysis, not a claim of subjective experience.
15 · Cognition & Control
Self-model
in GenOS.
A bounded model of agent identity and continuity used for analysis, not a claim of subjective experience.
DEFINITION AND SCIENCE
What it means
in GenOS.
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.
A bounded model of agent identity and continuity used for analysis, not a claim of subjective experience.
A model state s=(identity, capabilities, current-goals, limits, provenance) is updated by an authorized transition function. Claims about continuity require stable identity rules.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: Self-model
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Read versioned identityINPUT
02Update bounded self-descriptionMECHANISM
03Check continuity claimsCONDITIONAL OUTCOME
Current transition · Step 1Read versioned identity
The modeled transition may proceed. Change the assumption and move through the stages to inspect the decision path.
PROCESS AND USE
How it works
at a glance.
Read versioned identity
A bounded model of agent identity and continuity used for analysis, not a claim of subjective experience.
Update bounded self-description
A model state s=(identity, capabilities, current-goals, limits, provenance) is updated by an authorized transition function. Claims about continuity require stable identity rules.
Check continuity claims
Check continuity claims. 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.
RUNTIME IMPLEMENTATION
What is connected,
and how far.
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.
Persisted self-model and Self-Twin services track bounded history and calibration; they do not imply subjective self-awareness.
Failure modes have not yet been separately cataloged for this entry; follow the source and evidence links before relying on the mechanism.
PRIMARY RESEARCH · MECHANISM LEVEL
The mechanism
behind the analogy.
An axiomatic basis for computer programming
C. A. R. Hoare · Communications of the ACM 12(10), 576–580
Sets out axiomatic reasoning about program correctness. A checked property is only as relevant as its specification and assumptions.
Open publication ↗Primary research describes the cited mechanism; specific technologies may instead cite their original technical documentation. These sources provide context and do not validate the GenOS implementation.
EVIDENCE AND LIMITS
Scope and validation boundaries
The linked, versioned GenOS source defines this concept's supported operations and limits. The status axes describe the implementation and evidence recorded for this entry; they do not establish general mission success, scientific equivalence or behavior beyond that scope.