Bayesian Smoothing

State estimation that combines prior expectations with likelihood; updates informed by past and future states.

Neighborhood — ranked by edge-count

framework

Active Inference
implements
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 inversionconcept0.808
Online inversion of nonlinear dynamic causal models using DEM.
Bayesian Inferencemethod0.793
Nonparametric Bayesian Methodsframework0.789
Methods for bottom-up model space construction; contrasted with top-down BMR approach of this paper
Bayesian Model Averagingconcept0.780
Predictions formed by averaging over policy-specific beliefs, weighted by policy probabilities.
Bayesian Cognitive Scienceframework0.778
Umbrella framework for brain-centric Bayesian approaches; contrasted with active inference
Bayesian Model Selectionconcept0.772
Choosing among candidate models based on model evidence.
Bayesian Mechanicsframework0.765
Bayesian Decision Theoryframework0.756
Framework for maximizing expected utility under uncertainty.