method
active
method:bayesian-inferenceBayesian Inference
Neighborhood — ranked by edge-count
Frameworks (2)
framework
- Active Inferenceassociated_withFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
- Free Energy Principleassociated_withA foundational variational principle from statistical physics that formalizes how self-organizing systems maintain structural integrity and adapt to their environment by minimizing free energy—a mathematical bound on surprise or prediction error. Originally developed by Karl Friston, the framework unifies action, perception, and learning as processes of active inference, where systems both update internal models of the world and act upon it to reduce the divergence between predictions and observations.
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.
- A method for approximate Bayesian inference that optimizes a variational lower bound (ELBO) on log evidence.
- Online inversion of nonlinear dynamic causal models using DEM.
- KL divergence between prior and posterior beliefs; used in visual salience.
- Umbrella framework for brain-centric Bayesian approaches; contrasted with active inference
- The process of inferring causes of sensory inputs, a key aspect of the free-energy minimization scheme.