concept
active
concept:epistemic-foraging

Epistemic Foraging

Behavior driven by epistemic value; resolving uncertainty through action selection.

Neighborhood — ranked by edge-count

Claims (1)

claim

Concepts (2)

concept
  • The active sampling of observations to maximize information gain and resolve uncertainty about the environment.
  • Expected information gain about hidden states; drives curiosity and novelty-seeking; mutual information term in expected free energy.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Epistemic Behaviorconcept0.837
    World-disclosing behavior that resolves uncertainty; driven by epistemic value and novelty components of expected free energy
  • Bayes-optimal exploration driven by uncertainty minimization; natural behavior in active inference without handcrafted mechanisms.
  • Epistemic Learningconcept0.796
    Learning model parameters through curious, uncertainty-reducing behavior; reducing ignorance about contingencies
  • Opportunity for information gain presented by a particular course of action.
  • The ability to gain relevant empirical information about the world and options.
  • Epistemic Depthframework0.779
    Active inference theory of consciousness where a hyper-generative-model recursively monitors all inference layers; proposed as mechanism for contemplative wisdom in AI
  • Inherent unreliability of biological substrate due to mutation, aging, cancer, parasites; proposed as driver of adaptive cognitive architecture.
  • Epistemic Internalismframework0.728
    The view that epistemic justification is fully determined by factors internal to the subject's mind, often linked to consciousness.