← All concepts
82 · Physiology & Perception

Web foraging
in GenOS.

A resource-selection calculation for web exploration; it is not by itself a continuous browser controller.

IMPLEMENTATIONExperimental
RUNTIME INTEGRATIONCallable
EVIDENCEUnit tested
LAST REVIEWED SOURCEGenOS 5091f70 ↗

Bounded observation, patch selection and foraging actions are implemented and tested; continuous perception-action-verification and quality benchmarks remain open.

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

A resource-selection calculation for web exploration; it is not by itself a continuous browser controller.

BIOLOGICAL / SCIENTIFIC BASIS

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.

BIOLOGICAL INSPIRATION · WHY THIS ANALOGY

Foraging theory models when to exploit or leave a resource patch. GenOS borrows this stopping structure for web search under quality and cost limits.

GENOS TRANSLATION

A resource-selection calculation for web exploration; it is not by itself a continuous browser controller.

MATHEMATICAL / LOGICAL MODEL

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.

ANIMATED DIAGRAM · INTERACTIVE MODEL

Explore the mechanism: Web foraging

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

01 / 03
Current transition · Step 1Estimate source yield

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

Estimate source yield

A resource-selection calculation for web exploration; it is not by itself a continuous browser controller.

02

Search under cost budget

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.

03

Leave diminishing source

Leave diminishing source. 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.

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

Bounded observation, patch selection and foraging actions are implemented and tested; continuous perception-action-verification and quality benchmarks remain open.

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.

PATCH DEPARTURE UNDER DIMINISHING RETURNS · 1976

Optimal foraging, the marginal value theorem

Eric L. Charnov · Theoretical Population Biology 9(2), 129–136

Derives an idealized patch-leaving rule under stated assumptions. A software resource-selection heuristic is not empirically validated by the ecological model.

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.