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Quo vadis, planning?

Published online by Cambridge University Press:  23 September 2024

Jacques Pesnot-Lerousseau  and
Christopher Summerfield Open the ORCID record for Christopher Summerfield [Opens in a new window]
Jacques Pesnot-Lerousseau
Affiliation:
Institute for Language, Communication, and the Brain, Aix-Marseille Univ, Marseille, France jacques.pesnot-lerousseau@univ-amu.fr Aix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, France
Christopher Summerfield*
Affiliation:
Department of Experimental Psychology, University of Oxford, Oxford, UK christopher.summerfield@psy.ox.ac.uk https://humaninformationprocessing.com/
*
*Corresponding author.
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Abstract

Deep meta-learning is the driving force behind advances in contemporary AI research, and a promising theory of flexible cognition in natural intelligence. We agree with Binz et al. that many supposedly “model-based” behaviours may be better explained by meta-learning than by classical models. We argue that this invites us to revisit our neural theories of problem solving and goal-directed planning.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 47 , 2024 , e160
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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