A Worked Example of Fokker-Planck based Active Inference

Magnus Koudahl, A. (Bert) de Vries

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publicationActive Inference
Subtitle of host publicationFirst International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings
EditorsTim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom
Place of PublicationCham
PublisherSpringer
Chapter4
Pages28-34
Number of pages7
ISBN (Print)978-3-030-64918-0, 978-3-030-64919-7
DOIs
Publication statusPublished - 18 Dec 2020
Event1st International Workshop on Active Inference (IWAI 2020) - Virtual, Ghent, Belgium
Duration: 14 Sept 202014 Sept 2020
Conference number: 1
https://iwaiworkshop.github.io/

Publication series

NameCommunications in Computer and Information Science (CCIS)
Volume1326
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Workshop

Workshop1st International Workshop on Active Inference (IWAI 2020)
Abbreviated titleIWAI 2020
Country/TerritoryBelgium
CityGhent
Period14/09/2014/09/20
OtherIn Conjunction with ECML/PKDD 2020
Internet address

Keywords

  • Active inference
  • Fokker-Planck equation
  • Free energy

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