"active inference separates the problems of optimizing action and perception by assuming that action fulfills predictions based on inferred states"

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• Active inference treats exploration and exploitation as two different ways of tackling the same problem: minimizing uncertainty.claim0.858
  §2, comment on expected free energy decomposition.
• Active inference can be framed as the minimisation of surprise by perception and action.claim0.856
  Concise characterisation from Section 2.
• Active inference provides a principled account of epistemic exploration and intrinsic motivation as minimizing uncertainty.claim0.852
  §1, listing contributions.
• Active inference is a normative principle underwriting perception, action, planning, decision-making and learning in biological or artificial agents.quote0.848
• Active inference provides a framework (derived from first principles) for solving and understanding the behavior of autonomous agents.claim0.847
• "Active inference is a self-organising process of action policy selection."quote0.839
• Active inference dispenses with the Bellman optimality principle and replaces it with a (variational) principle of least action.claim0.836
  §2, expected free energy section.
• Active Inference, Curiosity and Insight (Friston et al., 2017)concept0.834
  The primary source paper being extracted