@inproceedings{9c536dbb6b96458f9531f865b184faa5,
title = "Toward Design of Synthetic Active Inference Agents by Mere Mortals",
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.",
keywords = "active inference agent, factor graphs, free energy minimization, reactive message passing, rxinfer, structural adaptation",
author = "{de Vries}, {A. (Bert)}",
year = "2024",
doi = "10.1007/978-3-031-47958-8_11",
language = "English",
isbn = "978-3-031-47957-1",
series = "Communications in Computer and Information Science (CCIS)",
publisher = "Springer",
pages = "173--185",
editor = "Buckley, {Christopher L.} and Daniela Cialfi and Pablo Lanillos and Maxwell Ramstead and Noor Sajid and Hideaki Shimazaki and Tim Verbelen and Martijn Wisse",
booktitle = "Active Inference",
address = "Germany",
note = "4th International Workshop on Active Inference, IWAI 2023, IWAI 2023 ; Conference date: 13-09-2023 Through 15-09-2023",
}