Friston et al. 2016: Active inference and learning (Neuroscience & Biobehavioral Reviews)

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• Active Inference, Curiosity and Insight (Friston et al., 2017)concept0.829
  The primary source paper being extracted
• Friston, FitzGerald et al. (2017) — Active inference: A process theoryconcept0.825
  Companion paper to which readers are directed for detailed account of active inference scheme
• Active inference offers a degree of plausibility as a process theory of brain function.claim0.817
  Overall assessment from Discussion.
• "active inference separates the problems of optimizing action and perception by assuming that action fulfills predictions based on inferred states"quote0.795
• Active inference provides a principled account of epistemic exploration and intrinsic motivation as minimizing uncertainty.claim0.782
  §1, listing contributions.
• Active inference is a normative principle underwriting perception, action, planning, decision-making and learning in biological or artificial agents.quote0.781
• Active inference agents can learn their own reward function (prior preferences) by interacting with the environment, bypassing the need for an explicit reward signal.claim0.777
  Abstract and §3, preference learning section.
• Biological agents use a process theory of active inference where neuronal dynamics correspond to variational free energy minimisation for perception and expected free energy minimisation for action.hypothesis0.773
  The core process theory hypothesis set up in the paper.