← All concepts
78 · Physiology & Perception

Homeostasis & allostasis
in GenOS.

Target regulation and anticipatory adjustment under changing conditions and declared bounds.

IMPLEMENTATIONPartial
RUNTIME INTEGRATIONWired
EVIDENCEIntegration tested
LAST REVIEWED SOURCEGenOS 5091f70 ↗

Immutable contract revisions, declarative thresholds and current execution receipts guard mission closure. SQLite recovery and stale-proof refusals are tested; Node tokens, USD and duration remain distinct from Rust ATP, and distributed deployment or physiological stability are not established.

Documentation markers describe linked material, not verified GenOS behavior. Simulation and benchmark flags remain partial until a concept-specific artifact is linked.

DOCUMENTATION
  • Science
  • Mathematics
  • Interactive model
  • Mechanism steps
  • Benchmark
  • FR explanation
DEFINITION AND SCIENCE

What it means
in GenOS.

IN ONE SENTENCE

Target regulation and anticipatory adjustment under changing conditions and declared bounds.

BIOLOGICAL / SCIENTIFIC BASIS

Homeostasis concerns regulation around viable ranges; allostasis describes anticipatory adjustment. Runtime resource guards can borrow feedback-control ideas without constituting a physiological model.

BIOLOGICAL INSPIRATION · WHY THIS ANALOGY

Physiology regulates variables within viable ranges. GenOS borrows feedback and bounds for resource control, whose stability requires software tests.

GENOS TRANSLATION

Target regulation and anticipatory adjustment under changing conditions and declared bounds.

MATHEMATICAL / LOGICAL MODEL

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.

ANIMATED DIAGRAM · INTERACTIVE MODEL

Explore the mechanism: Homeostasis & allostasis

A qualitative teaching model of this concept. It does not run GenOS or validate its implementation.

01 / 03
Current transition · Step 1Measure deviation

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.

01

Measure deviation

Target regulation and anticipatory adjustment under changing conditions and declared bounds.

02

Apply bounded correction

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.

03

Check restored range

Check restored range. Homeostasis concerns regulation around viable ranges; allostasis describes anticipatory adjustment. Runtime resource guards can borrow feedback-control ideas without constituting a physiological model.

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.

IMPLEMENTATION DETAIL

Immutable contract revisions, declarative thresholds and current execution receipts guard mission closure. SQLite recovery and stale-proof refusals are tested; Node tokens, USD and duration remain distinct from Rust ATP, and distributed deployment or physiological stability are not established.

FAILURE MODES

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.

PHYSIOLOGICAL REGULATION AND HOMEOSTASIS · 1932

The wisdom of the body

Walter B. Cannon · Kegan Paul, Trench, Trubner (London edition)

Original synthesis of homeostatic regulation; software feedback guards are an analogy, not physiology.

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.