Bayes-optimal Behavior

Behavior that minimizes expected free energy under the generative model, balancing exploration and exploitation in a principled manner.

Neighborhood — ranked by edge-count

paper

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.

Bayes-optimal conditional inferenceconcept0.821
The ideal limit of self-supervised learning as modeling the true conditional distribution.
If a system attains a general steady-state, it will appear to behave in a Bayes optimal fashion, both in terms of optimal Bayesian design (exploration) and Bayesian decision theory (exploitation).hypothesis0.819
Corollary 3 in Appendix B derived from steady-state assumptions.
Optimal Bayesian Designframework0.803
Selecting actions to maximize expected information gain.
Behavior prescribed by active inference dynamics is approximately Bayes-optimal.claim0.801
Process theory outcomes produce normatively sound decision-making.
Empirical Bayesframework0.759
Statistical framework underlying perceptual inference and learning scheme; enables hierarchical models of sensory generation.
Bayesian Decision Theoryframework0.749
Framework for maximizing expected utility under uncertainty.
Bayesian Mechanicsframework0.748
Behavior-Optimized Activation Path Recoverymethod0.746
Method of optimizing activation-space interventions to produce behavioral paths along M_y, then measuring whether the resulting activation trajectories trace M_h curvature