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Searching for answers: expert pattern recognition and planning.

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Τίτλος: Searching for answers: expert pattern recognition and planning.
Συγγραφείς: Gobet F; London School of Economics and Political Science, London, UK. Electronic address: F.Gobet@lse.ac.uk., Waters AJ; Uniformed Services University, Bethesda, MD, USA.
Πηγή: Trends in cognitive sciences [Trends Cogn Sci] 2023 Sep; Vol. 27 (9), pp. 788-790. Date of Electronic Publication: 2023 Jul 26.
Τύπος έκδοσης: Journal Article; Comment
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Elsevier Science Country of Publication: England NLM ID: 9708669 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-307X (Electronic) Linking ISSN: 13646613 NLM ISO Abbreviation: Trends Cogn Sci Subsets: MEDLINE
Imprint Name(s): Original Publication: Kidlington, Oxford, UK : Elsevier Science, c1997-
Ιατρικοί όροι (MeSH): Pattern Recognition, Physiological*, Humans ; Artificial Intelligence
Περίληψη: Does expertise mostly stem from pattern recognition or look-ahead search? van Opheusden et al. contribute to this important debate in cognitive psychology and artificial intelligence (AI) with a multi-method, multi-experiment study and a new model. Using a novel, relatively simple board game, they show that players increase depth of search when improving their skill.
(Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Competing Interests: Declaration of interests No interests are declared.
Σχόλια: Comment on: Nature. 2023 Jun;618(7967):1000-1005. doi: 10.1038/s41586-023-06124-2.. (PMID: 37258667)
Contributed Indexing: Keywords: board games; chunking; expertise; modeling; pattern recognition; search
Entry Date(s): Date Created: 20230728 Date Completed: 20230811 Latest Revision: 20250922
Update Code: 20260130
DOI: 10.1016/j.tics.2023.07.006
PMID: 37507243
Βάση Δεδομένων: MEDLINE
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  Data: Does expertise mostly stem from pattern recognition or look-ahead search? van Opheusden et al. contribute to this important debate in cognitive psychology and artificial intelligence (AI) with a multi-method, multi-experiment study and a new model. Using a novel, relatively simple board game, they show that players increase depth of search when improving their skill.<br /> (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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