Marginal Free Energy Approximation

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The marginal free energy currently stands as the most biologically plausible approximation.claim0.838
  Evaluation of various free energy approximations, Section 4.2.
• Ambiguity (Expected Free Energy)concept0.781
  Expected entropy of outcomes given states; resolved by selecting states that yield unambiguous outcomes.
• Free Energy Principleframework0.779
  A 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.
• Accuracy (Free Energy term)concept0.777
  Expected log likelihood of data under posterior beliefs; measures fit to observations.
• Expected Free Energy Minimizationmethod0.771
  Minimizing expected free energy for planning, decision-making, and action selection.
• free energyconcept0.769
  Thermodynamic potential ΔF = ΔE − TΔS; domain walls form if ΔF < 0
• Thermodynamic Free Energyconcept0.767
  Physical quantity sharing same minimum as variational free energy (via Jarzynski equality); proxy for computational cost
• Risk (Expected Free Energy)concept0.754
  KL divergence between predicted and preferred final states or outcomes.