Reframing Cognitive Science as a Complexity Science.
Complexity
Computationalism
Emergence
Nonlinearity
Self-organization
Journal
Cognitive science
ISSN: 1551-6709
Titre abrégé: Cogn Sci
Pays: United States
ID NLM: 7708195
Informations de publication
Date de publication:
04 2023
04 2023
Historique:
revised:
24
02
2023
received:
31
07
2022
accepted:
23
03
2023
medline:
21
4
2023
pubmed:
20
4
2023
entrez:
20
04
2023
Statut:
ppublish
Résumé
Complexity science is an investigative framework that stems from a number of tried and tested disciplines-including systems theory, nonlinear dynamical systems theory, and synergetics-and extends a common set of concepts, methods, and principles to understand how natural systems operate. By quantitatively employing concepts, such as emergence, nonlinearity, and self-organization, complexity science offers a way to understand the structures and operations of natural cognitive systems in a manner that is conceptually compelling and mathematically rigorous. Thus, complexity science both transforms understandings of cognition and reframes more traditional approaches. Consequently, if cognitive systems are indeed complex systems, then cognitive science ought to consider complexity science as a centerpiece of the discipline.
Types de publication
Letter
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13280Informations de copyright
© 2023 Cognitive Science Society LLC.
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