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Reframing Cognitive Science as a Complexity Science.

  • Published In: Cognitive Science, 2023, v. 47, n. 4. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Favela, Luis H.; Amon, Mary Jean 3 of 3

Abstract

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. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Cognitive Science. 2023/04, Vol. 47, Issue 4, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0364-0213
  • DOI:10.1111/cogs.13280
  • Accession Number:163411278
  • Copyright Statement:Copyright of Cognitive Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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