framework
active
framework:bayesian-brain-hypothesisBayesian Brain Hypothesis
Normative theory proposing biological systems perform approximate Bayesian inference through free energy minimization.
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Papers (1)
paper
Frameworks (2)
framework
- Active InferenceextendsFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
- Free Energy PrincipleextendsA 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.
- Umbrella framework for brain-centric Bayesian approaches; contrasted with active inference
- Ant colonies are 'liquid brains' due to shifting connectivity; extended metaphorically to all brains being 'liquid in time' through reinterpreting mental content across moments.
- Framework for maximizing expected utility under uncertainty.
- KL divergence between prior and posterior beliefs; used in visual salience.
- Cognitive framework referenced to explain how prosthetics and implants extend agent cognition; applied to cyborg contexts.
- The conjecture that consciousness does not result from the organized mind but creates and maintains complex models of reality; forms at the beginning of mental development
- Online inversion of nonlinear dynamic causal models using DEM.