Formalizing planning and information search in naturalistic decision-making

L. T. Hunt, N. D. Daw, P. Kaanders, M. A. MacIver, U. Mugan, E. Procyk, A. D. Redish, E. Russo, J. Scholl, K. Stachenfeld, C. R.E. Wilson, N. Kolling

Research output: Contribution to journalReview articlepeer-review

41 Scopus citations

Abstract

Decisions made by mammals and birds are often temporally extended. They require planning and sampling of decision-relevant information. Our understanding of such decision-making remains in its infancy compared with simpler, forced-choice paradigms. However, recent advances in algorithms supporting planning and information search provide a lens through which we can explain neural and behavioral data in these tasks. We review these advances to obtain a clearer understanding for why planning and curiosity originated in certain species but not others; how activity in the medial temporal lobe, prefrontal and cingulate cortices may support these behaviors; and how planning and information search may complement each other as means to improve future action selection.

Original languageEnglish (US)
Pages (from-to)1051-1064
Number of pages14
JournalNature neuroscience
Volume24
Issue number8
DOIs
StatePublished - Aug 2021

All Science Journal Classification (ASJC) codes

  • General Neuroscience

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