method
active
method:belief-propagationBelief Propagation
Inference mechanism underlying active inference; updates posterior beliefs via gradient descent on free energy.
Neighborhood — ranked by edge-count
Papers (1)
paper
Frameworks (1)
framework
- Active InferenceimplementsFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
Methods (2)
method
- Belief Propagation Algorithmrelated_tosame_asMessage passing algorithm based on Bethe approximation.
- Variational BayesimplementsMathematical framework for approximating posterior beliefs; converts exact Bayesian inference into optimization.
Claims (1)
claim
- Alternative free energy approximation yields belief propagation.
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.
- Change in the model's internal belief state as tracked by probes during CoT generation, indicating genuine uncertainty resolution
- Property that additive modifications to activations affect all downstream computations, enabling tractable behavioral control
- Recursive inference of hidden states and parameters using free energy minimization.
- Standard learning algorithm for deep neural networks that propagates error signals to adjust weights; lacks convergence guarantee for non-linearly separable functions
- Friston et al. concept for collective belief dynamics; relevant for extended cognitive glue.
- Schwitzgebel's concept applying behavioural and cognitive dispositions to LMs without ascriptions of phenomenal consciousness.
- Algorithmic framework for probabilistic inference in graphical models.
- The latent state inferred by the agent representing its belief about being in pain, used as exploration signal