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concept:approximate-posterior-qApproximate Posterior (Q)
Factorised distribution used to approximate the true Bayesian posterior.
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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.
- Approximate posterior distribution over hidden states, policies, and parameters; updated by minimizing VFE
- Approximations and prunings compose badly; cleaner to maintain precise infinite semantics until final extraction
- The approximate posterior over policies is a softmax function of the negative expected free energy.claim0.725Mathematical form of policy selection, eq. (10).
- Fixed-point free partial injective functions used as simple reversible dynamical processes in Geometry of Interaction.
- Model-free RL algorithm used in experimental comparison; employs ε-greedy exploration.
- Variational technique used in active inference to tractably compute posterior beliefs.
- The set of objects A of a formal concept (A,B).
- Graded notion of causal abstraction measured by IIA; when IIA is alpha < 100%, the model is alpha-on-average approximately abstract.