Interactive cognitive maps support flexible behavior under threat.

Autor:	Wise T; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Department of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA. Electronic address: toby.wise@kcl.ac.uk., Charpentier CJ; Department of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA; Department of Psychology, University of Maryland, College Park, MD, USA; Brain and Behavior Institute, University of Maryland, College Park, MD, USA., Dayan P; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; University of Tübingen, Tübingen, Germany., Mobbs D; Department of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA; Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA, USA.
Jazyk:	angličtina
Zdroj:	Cell reports [Cell Rep] 2023 Aug 29; Vol. 42 (8), pp. 113008. Date of Electronic Publication: 2023 Aug 22.
DOI:	10.1016/j.celrep.2023.113008
Abstrakt:	In social environments, survival can depend upon inferring and adapting to other agents' goal-directed behavior. However, it remains unclear how humans achieve this, despite the fact that many decisions must account for complex, dynamic agents acting according to their own goals. Here, we use a predator-prey task (total n = 510) to demonstrate that humans exploit an interactive cognitive map of the social environment to infer other agents' preferences and simulate their future behavior, providing for flexible, generalizable responses. A model-based inverse reinforcement learning model explained participants' inferences about threatening agents' preferences, with participants using this inferred knowledge to enact generalizable, model-based behavioral responses. Using tree-search planning models, we then found that behavior was best explained by a planning algorithm that incorporated simulations of the threat's goal-directed behavior. Our results indicate that humans use a cognitive map to determine other agents' preferences, facilitating generalized predictions of their behavior and effective responses. Competing Interests: Declaration of interests All authors declare no competing interests. (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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