This paper may be used as a practical guide on how to implement active inference to simulate experimental behaviour.

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• "active inference separates the problems of optimizing action and perception by assuming that action fulfills predictions based on inferred states"quote0.791
• Active inference treats exploration and exploitation as two different ways of tackling the same problem: minimizing uncertainty.claim0.788
  §2, comment on expected free energy decomposition.
• Active Inferenceframework0.788
  Foundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
• Active Inference Rule-Learning Simulation (32 trials, 64 agents)method0.788
  Computational simulation method using spm_MDP_VB_X to demonstrate curiosity and insight
• In active inference, reward can simply be treated as another observation we have a preference over, rather than a special signal.claim0.784
  Abstract; central distinction.
• This paper provides a complete mathematical synthesis of active inference on discrete state-space models.claim0.783
  Self-description of the paper in the abstract.
• Active inference provides a framework (derived from first principles) for solving and understanding the behavior of autonomous agents.claim0.782
• Do human participants demonstrate the same insight dynamics predicted by active inference in the rule-learning paradigm (currently under investigation with eye tracking and crowd-sourced reaction times)?question0.775
  Empirical gap explicitly acknowledged; experiments reportedly in progress at time of writing