Minimising expected free energy ensures preferred outcomes are realised, thereby avoiding surprise on average.

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• Minimising expected free energy specifies the optimal balance between goal-seeking and itinerant novelty-seeking behaviour.claim0.876
  Describes the exploitation-exploration trade-off.
• The most likely (i.e., best) policies minimise expected free energy.claim0.860
  Decision-making rule in active inference.
• Expected free energy scores each possible course of action in terms of its ability to reach the range of preferred states of being.claim0.841
  Definitional claim from Section 2.
• Expected free energy decomposes into risk (exploitation) and ambiguity (exploration) terms, providing optimal balance between goal-seeking and novelty-seeking.claim0.840
  Key insight into structure of decision-making; explains intrinsic motivation and curiosity.
• Expected Free Energy Minimizationmethod0.840
  Minimizing expected free energy for planning, decision-making, and action selection.
• The expected free energy can be unpacked in terms of risk and ambiguity.claim0.832
  A key decomposition presented in Section 7.
• Curiosity, insight, decision-making, and diverse phenomena can all be accommodated by a single imperative: minimization of expected free energy (resolution of uncertainty).claim0.828
  Central thesis of the paper unifying cognitive phenomena under one objective function
• "A system can minimize free-energy by changing its configuration to change the way it samples the environment, or to change its expectations. These changes correspond to action and perception respectively."concept0.827
  Load-bearing definition of how action and perception implement free energy minimization.