framework
active
framework:epistemic-depth

Epistemic Depth

Active inference theory of consciousness where a hyper-generative-model recursively monitors all inference layers; proposed as mechanism for contemplative wisdom in AI

Neighborhood — ranked by edge-count

Concepts (3)

concept

Claims (1)

claim

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 Valueconcept0.808
    Expected information gain about hidden states; drives curiosity and novelty-seeking; mutual information term in expected free energy.
  • Bayes-optimal exploration driven by uncertainty minimization; natural behavior in active inference without handcrafted mechanisms.
  • The ability to gain relevant empirical information about the world and options.
  • Inherent unreliability of biological substrate due to mutation, aging, cancer, parasites; proposed as driver of adaptive cognitive architecture.
  • Epistemic Behaviorconcept0.790
    World-disclosing behavior that resolves uncertainty; driven by epistemic value and novelty components of expected free energy
  • Opportunity for information gain presented by a particular course of action.
  • Epistemic Foragingconcept0.779
    Behavior driven by epistemic value; resolving uncertainty through action selection.
  • Epistemic Learningconcept0.775
    Learning model parameters through curious, uncertainty-reducing behavior; reducing ignorance about contingencies