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Quo vadis, planning?
Jacques Pesnot-Lerousseau1,2, Christopher Summerfield3
1Institute for Language, Communication, and the Brain, Aix-Marseille Univ, Marseille, France jacques.pesnot-lerousseau@univ-amu.fr.
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.
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Schemas
Schemata
Two types of schemata are:
Azimuths and Bearings

