A threat-response model for checking claims and evidence while preserving authority and provenance boundaries.
86 · Immunity & Medicine
Adaptive epistemic immune system
in GenOS.
A threat-response model for checking claims and evidence while preserving authority and provenance boundaries.
DEFINITION AND SCIENCE
What it means
in GenOS.
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.
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.
A threat-response model for checking claims and evidence while preserving authority and provenance boundaries.
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.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: Adaptive epistemic immune system
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Receive a questionable claimINPUT
02Check source and anomalyMECHANISM
03Quarantine or releaseCONDITIONAL OUTCOME
Current transition · Step 1Receive a questionable claim
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.
Receive a questionable claim
A threat-response model for checking claims and evidence while preserving authority and provenance boundaries.
Check source and anomaly
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.
Quarantine or release
Quarantine or release. 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.
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.
AEIS connects signed approvals, bounded provider checks, persistent counter-evidence and transactional authority penalties. Local SQLite/provider-process tests cover accepted and refused paths; timeouts remain inconclusive. External-model calibration and general false-positive/false-negative rates remain unqualified.
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.
A modification of Jerne's theory of antibody production using the concept of clonal selection
Frank Macfarlane Burnet · Australian Journal of Science 20, 67–69; original paper reprinted in Nature Immunology
Biological basis for adaptive recognition and memory; GenOS threat policies do not implement lymphocyte selection.
Open publication ↗Design of fault-tolerant computers
Algirdas Avižienis · AFIPS Fall Joint Computer Conference, 733–743
Original fault-tolerance design work. It motivates software failure analysis but does not validate a GenOS pathology label.
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.