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Dynamics of cognition.

Michael A Riley1, John G Holden1

  • 1Center for Cognition, Action, & Perception, Department of Psychology, University of Cincinnati, Cincinnati, OH, USA.

Wiley Interdisciplinary Reviews. Cognitive Science
|August 26, 2015
PubMed
Summary
This summary is machine-generated.

Dynamical systems theory offers new ways to study cognition, enabling scientists to test complex phenomena like phase transitions and scaling laws in areas from perception to reading. This approach enhances understanding of cognitive processes and performance.

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Area of Science:

  • Cognitive Science
  • Dynamical Systems Theory

Background:

  • Dynamical systems methods have expanded the scope of testable hypotheses in cognitive science.
  • Early applications focused on perceptual-motor performance and developmental psychology.

Purpose of the Study:

  • To review the empirical results of foundational and contemporary cognitive dynamics research.
  • To highlight the application of dynamical systems theory across various cognitive domains.

Main Methods:

  • Analysis of cognitive performance for consistency with complex dynamical systems phenomena.
  • Testing for phase transitions, coupling among processes, and scaling laws.

Main Results:

  • Dynamical systems analyses have been applied to learning, memory, speech perception, decision making, problem solving, and reading.
  • The review covers both historical and current empirical findings in cognitive dynamics.

Conclusions:

  • Dynamical systems theory provides a robust framework for understanding cognitive phenomena.
  • This approach has significantly broadened research possibilities in cognitive science.