Bayesian model reduction (method)

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

• Bayesian Model Reduction (BMR)framework0.867
  Formal mechanism by which the separation prior sigma is pruned from the generative model
• Bayesian model reduction formalises post-hoc hypothesis testing to simplify the generative model.claim0.843
  Definition of Bayesian model reduction, Section 9.1.
• prior eliminated by Bayesian model reductionconcept0.837
  Bayesian model reduction removes the structural partition prior once evidence shows it is unnecessary, yielding a post-dual agent.
• Bayesian Model Selectionconcept0.803
  Choosing among candidate models based on model evidence.
• Bayesian model evidenceconcept0.794
  The probability of sensory data under a generative model; negative log evidence is bounded by free energy.
• Bayesian model reduction after 12 trials correctly removes off-diagonal (redundant) parameters from the likelihood array, recovering the true contingency structure.finding0.785
  Validation that BMR correctly identifies and prunes wrong connections in the likelihood mapping
• Bayesian Model Expansionmethod0.785
  Adding new states or parameters to the generative model if it increases model evidence, enabling concept learning.
• Bayesian Model-Based Reinforcement Learningframework0.773
  RL variant that maintains beliefs over environment model; compared to active inference using Thompson sampling.