This paper reviews recent developments under the free energy principle that introduce a normative perspective on classical economic (utilitarian) decision-making based on (active) Bayesian inference. It has been suggested that the free energy principle precludes novelty and complexity, because it assumes that biological systems—like ourselves—try to minimize the long-term average of surprise to maintain their homeostasis. However, recent formulations show that minimizing surprise leads naturally to concepts such as exploration and novelty bonuses. In this approach, agents infer a policy that minimizes surprise by minimizing the difference (or relative entropy) between likely and desired outcomes, which involves both pursuing the goal-state that has the highest expected utility (often termed “exploitation”) and visiting a number of different goal-states (“exploration”). Crucially, the opportunity to visit new states increases the value of the current state. Casting decision-making problems within a variational framework, therefore, predicts that our behavior is governed by both the entropy and expected utility of future states. This dissolves any dialectic between minimizing surprise and exploration or novelty seeking.
Exploration, novelty, surprise, and free energy minimization
P. Schwartenbeck,T. FitzGerald,R. Dolan,Karl J. Friston
Published 2013 in Frontiers in Psychology
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- Publication year
2013
- Venue
Frontiers in Psychology
- Publication date
2013-08-22
- Fields of study
Medicine, Philosophy, Computer Science, Economics
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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