A model of degraded or unsafe runtime states, not a medical diagnosis of people.
89 · Immunity & Medicine
Computational pathologies
in GenOS.
A model of degraded or unsafe runtime states, not a medical diagnosis of people.
DEFINITION AND SCIENCE
What it means
in GenOS.
The pathology catalog classifies software failure patterns using clinical terminology. The categories are operational metaphors and are not medical diagnoses, symptoms, or treatment recommendations.
Medicine names failure patterns to guide inquiry. The software taxonomy similarly separates mechanisms and responses, while remaining outside human diagnosis.
A model of degraded or unsafe runtime states, not a medical diagnosis of people.
A failure classifier maps telemetry x to a set of candidate failure labels; preserve multi-label uncertainty and require a separate verified response decision.
ANIMATED DIAGRAM · INTERACTIVE MODEL
01 / 03Explore the mechanism: Computational pathologies
A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.
01Record telemetryINPUT
02Match failure patternsMECHANISM
03Verify a remedyCONDITIONAL OUTCOME
Current transition · Step 1Record telemetry
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.
Record telemetry
A model of degraded or unsafe runtime states, not a medical diagnosis of people.
Match failure patterns
A failure classifier maps telemetry x to a set of candidate failure labels; preserve multi-label uncertainty and require a separate verified response decision.
Verify a remedy
Verify a remedy. The pathology catalog classifies software failure patterns using clinical terminology. The categories are operational metaphors and are not medical diagnoses, symptoms, or treatment recommendations.
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.
The runtime catalog supplies bounded operators for its 28 simulated conditions. Removal of a condition requires all relevant markers to be valid and below threshold after an applied transformation; missing data never establishes recovery. Clinical terminology is a software metaphor.
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.
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.