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Authors: Hugo Chateau-Laurent 1 ; 2 ; 3 and Frédéric Alexandre 1 ; 2 ; 3

Affiliations: 1 Inria Bordeaux Sud-Ouest, 200 Avenue de la Vieille Tour, 33405 Talence, France ; 2 LaBRI, Université de Bordeaux, Bordeaux INP, CNRS, UMR 5800, Talence, France ; 3 Institut des Maladies Neurodégénératives, Université de Bordeaux, CNRS, UMR 5293, Bordeaux, France

Keyword(s): Explicit Memory, Episodic Memory, Prospective Memory, Hippocampus, Prefrontal Cortex.

Abstract: A major cognitive function is often overlooked in artificial intelligence research: episodic memory. In this paper, we relate episodic memory to the more general need for explicit memory in intelligent processing. We describe its main mechanisms and its involvement in a variety of functions, ranging from concept learning to planning. We set the basis for a computational cognitive neuroscience approach that could result in improved machine learning models. More precisely, we argue that episodic memory mechanisms are crucial for contextual decision making, generalization through consolidation and prospective memory.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Chateau-Laurent, H. and Alexandre, F. (2021). Augmenting Machine Learning with Flexible Episodic Memory. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - NCTA; ISBN 978-989-758-534-0; ISSN 2184-3236, SciTePress, pages 326-333. DOI: 10.5220/0010674600003063

@conference{ncta21,
author={Hugo Chateau{-}Laurent. and Frédéric Alexandre.},
title={Augmenting Machine Learning with Flexible Episodic Memory},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - NCTA},
year={2021},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010674600003063},
isbn={978-989-758-534-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - NCTA
TI - Augmenting Machine Learning with Flexible Episodic Memory
SN - 978-989-758-534-0
IS - 2184-3236
AU - Chateau-Laurent, H.
AU - Alexandre, F.
PY - 2021
SP - 326
EP - 333
DO - 10.5220/0010674600003063
PB - SciTePress