Abstract
The Free Energy Principle (FEP) and its corollary active inference describe a complex theoretical framework with a substantial statistical mechanics foundation that is often expressed in terms of the Fokker-Planck equation. Easy-to-follow examples of this formalism are scarce, leaving a high barrier of entry to the field. In this paper we provide a worked example of an active inference agent as a hierarchical Gaussian generative model. We proceed to write its equations of motion explicitly as a Fokker-Planck equation, providing a clear mapping between theoretical accounts of FEP and practical implementation. Code is available at github.com/biaslab/ai_workshop_2020.
Original language | English |
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Title of host publication | Active Inference |
Subtitle of host publication | First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings |
Editors | Tim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom |
Place of Publication | Cham |
Publisher | Springer |
Chapter | 4 |
Pages | 28-34 |
Number of pages | 7 |
ISBN (Print) | 978-3-030-64918-0, 978-3-030-64919-7 |
DOIs | |
Publication status | Published - 18 Dec 2020 |
Event | 1st International Workshop on Active Inference (IWAI 2020) - Virtual, Ghent, Belgium Duration: 14 Sept 2020 → 14 Sept 2020 Conference number: 1 https://iwaiworkshop.github.io/ |
Publication series
Name | Communications in Computer and Information Science (CCIS) |
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Volume | 1326 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Workshop
Workshop | 1st International Workshop on Active Inference (IWAI 2020) |
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Abbreviated title | IWAI 2020 |
Country/Territory | Belgium |
City | Ghent |
Period | 14/09/20 → 14/09/20 |
Other | In Conjunction with ECML/PKDD 2020 |
Internet address |
Keywords
- Active inference
- Fokker-Planck equation
- Free energy