Active inference and epistemic value
Wellcome Centre for Human Neuroimaging · King's College London · +6 more institutions
Abstract
We offer a formal treatment of choice behavior based on the premise that agents minimize the expected free energy of future outcomes. Crucially, the negative free energy or quality of a policy can be decomposed into extrinsic and epistemic (or intrinsic) value. Minimizing expected free energy is therefore equivalent to maximizing extrinsic value or expected utility (defined in terms of prior preferences or goals), while maximizing information gain or intrinsic value (or reducing uncertainty about the causes of valuable outcomes). The resulting scheme resolves the exploration-exploitation dilemma: Epistemic value is maximized until there is no further information gain, after which exploitation is assured…
Citation impact
- FWCI
- 29.30
- Percentile
- 100%
- References
- 145
Authors
6- KFKarl FristonCorresponding
Wellcome Centre for Human Neuroimaging
- FRFrancesco Rigoli
Wellcome Centre for Human Neuroimaging
- DODimitri Ognibene
King's College London
- CMChristoph Mathys
University of Zurich, ETH Zurich, Institute for Biomedical Engineering, Laboratory for Social and Neural Systems Research, Wellcome Centre for Human Neuroimaging
- THThomas H. B. FitzGerald
Wellcome Centre for Human Neuroimaging
Topics & keywords
- Infomax
- Expected utility hypothesis
- Inference
- Ambiguity
- Bayes' theorem
- Value of information
- Bayesian probability
- Computer science
- Affordable and clean energy