concept
active
concept:variational-free-energy-vfeVariational Free Energy (VFE)
Upper bound on surprisal minimised by any persisting agent; decomposes into noise and insufficient learning in the qFEP
Neighborhood — ranked by edge-count
Frameworks (1)
framework
- 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.
- Minimizing variational free energy for perceptual inference and learning of model parameters.
- Definitional claim from Section 2.
- Key mathematical property linking free energy to surprise minimization.
- Process by which neuronal dynamics minimize free energy; produces empirically observable neural phenomena.
- Optimization procedure for simultaneously updating action selection and perception; uses step size ζ (default 4).
- Formalization of perception-action cycle integrating inference and decision-making.
- Physical quantity sharing same minimum as variational free energy (via Jarzynski equality); proxy for computational cost
- Expected entropy of outcomes given states; resolved by selecting states that yield unambiguous outcomes.