Expected free energy decomposes into risk (exploitation) and ambiguity (exploration) terms, providing optimal balance between goal-seeking and novelty-seeking.

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• Minimising expected free energy specifies the optimal balance between goal-seeking and itinerant novelty-seeking behaviour.claim0.881
  Describes the exploitation-exploration trade-off.
• The expected free energy can be unpacked in terms of risk and ambiguity.claim0.869
  A key decomposition presented in Section 7.
• Ambiguity (Expected Free Energy)concept0.844
  Expected entropy of outcomes given states; resolved by selecting states that yield unambiguous outcomes.
• Minimising expected free energy ensures preferred outcomes are realised, thereby avoiding surprise on average.claim0.840
  How expected free energy links to survival.
• Expected free energy scores each possible course of action in terms of its ability to reach the range of preferred states of being.claim0.829
  Definitional claim from Section 2.
• Curiosity, insight, decision-making, and diverse phenomena can all be accommodated by a single imperative: minimization of expected free energy (resolution of uncertainty).claim0.829
  Central thesis of the paper unifying cognitive phenomena under one objective function
• The expected free energy subsumes many existing constructs in science and engineering.claim0.818
  Unifying nature of expected free energy claimed in Section 2 and 7.
• Natural exploration-exploitation trade-offs emerge automatically from expected free energy minimization without hyperparameter tuning.claim0.817
  Active inference achieves Bayes-optimal arbitration between exploration and exploitation without handcrafted mechanisms like ε-greedy.