method
active
method:expected-free-energy-minimizationExpected Free Energy Minimization
Minimizing expected free energy for planning, decision-making, and action selection.
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Papers (1)
paper
Frameworks (1)
framework
- Active InferenceimplementsFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
Methods (1)
method
- Variational Free Energy Minimizationrelated_toMinimizing variational free energy for perceptual inference and learning of model parameters.
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.
- Free energy expected under future outcomes; guides policy selection via epistemic and extrinsic value.
- Decision-making rule in active inference.
- How expected free energy links to survival.
- Describes the exploitation-exploration trade-off.
- KL divergence between predicted and preferred final states or outcomes.
- Expected entropy of outcomes given states; resolved by selecting states that yield unambiguous outcomes.
- Remarkable convergence result showing optimal modelling erodes the distinction the modeller imposed
- Definitional claim from Section 2.