Toward Design of Synthetic Active Inference Agents by Mere Mortals

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Samenvatting

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.
Originele taal-2Engels
TitelActive Inference
Subtitel4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers
RedacteurenChristopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Plaats van productieCham
UitgeverijSpringer
Pagina's173-185
Aantal pagina's13
ISBN van elektronische versie978-3-031-47958-8
ISBN van geprinte versie978-3-031-47957-1
DOI's
StatusGepubliceerd - 2024
Evenement4th International Workshop on Active Inference, IWAI 2023 - Ghent, België
Duur: 13 sep. 202315 sep. 2023

Publicatie series

NaamCommunications in Computer and Information Science (CCIS)
Volume1915
ISSN van geprinte versie1865-0929
ISSN van elektronische versie1865-0937

Congres

Congres4th International Workshop on Active Inference, IWAI 2023
Verkorte titelIWAI 2023
Land/RegioBelgië
StadGhent
Periode13/09/2315/09/23

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