Bayesian Cognitive Science

Umbrella framework for brain-centric Bayesian approaches; contrasted with active inference

Neighborhood — ranked by edge-count

framework

Active Inference
contradicts
Foundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.

cosine ≥ 0.65 · no typed edge

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

Bayesian Brain Hypothesisframework0.842
Normative theory proposing biological systems perform approximate Bayesian inference through free energy minimization.
Cognitive Scienceconcept0.829
Interdisciplinary study of mind and cognition, providing models of self and agency.
Bayesian Inferencemethod0.826
Bayesian Decision Theoryframework0.816
Framework for maximizing expected utility under uncertainty.
Bayesian inversionconcept0.805
Online inversion of nonlinear dynamic causal models using DEM.
Bayesian Mechanicsframework0.798
Bayesian Model Selectionconcept0.785
Choosing among candidate models based on model evidence.
Bayesian ICL (Xie et al. 2022)framework0.782
Prior framework explaining ICL as inference over task structure; UCCT adopts and extends the Bayesian lens