Associative thinking at the core of creativity.

associative thinking creativity distributional semantic modeling semantic memory

Journal

Trends in cognitive sciences
ISSN: 1879-307X
Titre abrégé: Trends Cogn Sci
Pays: England
ID NLM: 9708669

Informations de publication

Date de publication:
07 2023
Historique:
received: 01 03 2023
revised: 08 04 2023
accepted: 11 04 2023
medline: 16 6 2023
pubmed: 29 5 2023
entrez: 28 5 2023
Statut: ppublish

Résumé

Creativity has long been thought to involve associative processes in memory: connecting concepts to form ideas, inventions, and artworks. However, associative thinking has been difficult to study due to limitations in modeling memory structure and retrieval processes. Recent advances in computational models of semantic memory allow researchers to examine how people navigate a semantic space of concepts when forming associations, revealing key search strategies associated with creativity. Here, we synthesize cognitive, computational, and neuroscience research on creativity and associative thinking. This Review highlights distinctions between free- and goal-directed association, illustrates the role of associative thinking in the arts, and links associative thinking to brain systems supporting both semantic and episodic memory - offering a new perspective on a longstanding creativity theory.

Identifiants

pubmed: 37246025
pii: S1364-6613(23)00094-3
doi: 10.1016/j.tics.2023.04.004
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

671-683

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Auteurs

Roger E Beaty (RE)

Department of Psychology, Pennsylvania State University, University Park, PA, USA. Electronic address: rebeaty@psu.edu.

Yoed N Kenett (YN)

Faculty of Data and Decision Sciences, Technion - Israel Institute of Technology, Haifa, Israel.

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Classifications MeSH