framework
active
framework:predictive-codingPredictive Coding
Related framework emphasizing prediction errors; active inference extends to Markov decision processes.
Neighborhood — ranked by edge-count
Papers (1)
paper
Thinkers (1)
thinker
- Giovanni Pezzulostudies
Frameworks (1)
framework
- Active Inferenceassociated_withFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
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.
- Theory that brains are predictive machines minimizing prediction error.
- Bialek/Ay information-theoretic measure; characterizes agent capacity to predict future from past.
- Apps and Tsakiris's proposal that self-recognition can be modeled probabilistically under the free energy principle
- Barrett and Simmons's neuroanatomical model of interoceptive prediction error and affect generation
- Framework learning end-to-end mappings from activations through sparse concept bottlenecks to behavioral predictions
- Indicator from PP: use of predictive coding in input modules.
- The mid-to-late layer computational process that converts routed perturbation signals into explicit predictions
- Theory that perception and cognition involve predictive coding; listed with indicators in Butlin et al. 2023.