Active inference and free energy minimization

Claims (7)

• Agents perceive by minimizing variational free energy to ensure model consistency with past observations and act by minimizing expected free energy to make future sensations consistent with preferences.Formalization of perception-action cycle integrating inference and decision-making.
• Dopamine discharge encodes changes in expected free energy under posterior vs. prior policy beliefs, representing precision updates.Links dopamine to precision modulation; reward prediction error reflects expected free energy changes.
• Epistemic behavior (exploration) emerges from maximizing mutual information between hidden states and observations.Formal mechanism for curiosity and information-seeking behavior derived from expected free energy.
• Exchanges with the environment are maintained within bounds that preserve the integrity of the agent through surprise minimization.Links free energy minimization to homeostatic preservation of biological systems.
• Expected free energy decomposes into risk (exploitation) and ambiguity (exploration) terms, providing optimal balance between goal-seeking and novelty-seeking.Key insight into structure of decision-making; explains intrinsic motivation and curiosity.
• Natural exploration-exploitation trade-offs emerge automatically from expected free energy minimization without hyperparameter tuning.Active inference achieves Bayes-optimal arbitration between exploration and exploitation without handcrafted mechanisms like ε-greedy.
• Agents construct narratives for transformative experiences via experience-focused world modeling of epistemically opaque futures.