Abstract
The theoretical properties of active inference agents are impressive, but how do we realize effective agents in working hardware and software on edge devices? This is an interesting problem because the computational load for policy exploration explodes exponentially, while the computational resources are very limited for edge devices. In this paper, we discuss the necessary features for a software toolbox that supports a competent non-expert engineer to develop working active inference agents. We introduce a toolbox-in-progress that aims to accelerate the democratization of active inference agents in a similar way as TensorFlow propelled applications of deep learning technology.
Original language | English |
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Title of host publication | Active Inference |
Subtitle of host publication | 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers |
Editors | Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse |
Place of Publication | Cham |
Publisher | Springer |
Pages | 173-185 |
Number of pages | 13 |
ISBN (Electronic) | 978-3-031-47958-8 |
ISBN (Print) | 978-3-031-47957-1 |
DOIs | |
Publication status | Published - 2024 |
Event | 4th International Workshop on Active Inference, IWAI 2023 - Ghent, Belgium Duration: 13 Sept 2023 → 15 Sept 2023 |
Publication series
Name | Communications in Computer and Information Science (CCIS) |
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Volume | 1915 |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 4th International Workshop on Active Inference, IWAI 2023 |
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Abbreviated title | IWAI 2023 |
Country/Territory | Belgium |
City | Ghent |
Period | 13/09/23 → 15/09/23 |
Funding
I would like to acknowledge my colleagues at BIASlab (http:// biaslab.org) for the stimulating work environment and the anonymous reviewers for excellent feedback on the draft version. Some wording in this document, such as footnote (see footnote 2), comes straight from a reviewer.
Keywords
- active inference agent
- factor graphs
- free energy minimization
- reactive message passing
- rxinfer
- structural adaptation