concept
active
concept:optimal-data-selectionOptimal Data Selection
Question of how rationally agents query the world; subsumed by expected free energy minimization
Neighborhood — ranked by edge-count
Concepts (1)
concept
- Epistemic Behaviorassociated_withWorld-disclosing behavior that resolves uncertainty; driven by epistemic value and novelty components of expected free energy
Quotes (1)
quote
- Still & Precup (2012) formulation of epistemic imperatives behind curiosity; linked to active inference
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Selecting actions to maximize expected information gain.
- Trade-off concept where no metric can be improved without worsening another.
- Adapted control task metric measuring difference between odds-ratio on original task and arbitrary-label control task
- Comparing models using log-evidence approximated by free energy.
- Behavior that minimizes expected free energy under the generative model, balancing exploration and exploitation in a principled manner.
- Analogy between evolution (model selection) and Bayesian model reduction; but evolution is not curious or insightful
- Iterative procedure searching token counts in [50,100,...,1000] to find concatenation of (C)ARR satisfying IIT's Markov and conditional independence assumptions.