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Grounding cognitive-level processes in behavior: the view from dynamic systems theory.

Larissa K Samuelson1, Gavin W Jenkins, John P Spencer

  • 1Department of Psychology and DeLTA Center, University of Iowa.

Topics in Cognitive Science
|March 11, 2015
PubMed
Summary
This summary is machine-generated.

Dynamic systems theory (DST) offers a novel perspective on cognitive change, challenging traditional computational models. This research explores dynamic field theory (DFT) to understand emergence in cognitive processes and behavior.

Keywords:
Cognitive processesDynamic systemsEmergenceLevels of analysisMarrRepresentationsWord learning

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Area of Science:

  • Cognitive Science
  • Dynamic Systems Theory
  • Computational Neuroscience

Background:

  • Marr's framework established key questions for cognitive science across multiple analysis levels.
  • Dynamic systems theory (DST) emphasizes time and component interdependence, leading to distinct conclusions on cognitive change.
  • Dynamic field theory (DFT) is a specific DST approach applied to cognitive-level processes.

Purpose of the Study:

  • To review research applying DFT to cognitive processes like object permanence, category naming, and intent inference.
  • To demonstrate how a DST perspective alters the understanding of behavior and cognition.
  • To explore the concept of emergence as a central challenge in cognitive science research.

Main Methods:

  • Review of existing research applying dynamic field theory (DFT) to specific cognitive tasks.
  • Analysis of how DFT's focus on time and interdependence influences interpretations of cognitive phenomena.
  • Conceptual exploration of emergence in relation to Marr's levels of analysis.

Main Results:

  • DFT applications reveal unique insights into object permanence, hierarchical category naming, and intent inference.
  • A DST perspective highlights the dynamic and interdependent nature of cognitive processes.
  • The concept of emergence is identified as a critical challenge for understanding novel cognitive and behavioral forms.

Conclusions:

  • Appreciating emergence challenges the exclusive utility of traditional computational-level analyses.
  • Dynamic systems theory, particularly DFT, offers a valuable framework for investigating the origins of novel behaviors and thought.
  • Understanding emergence is fundamental to advancing cognitive science and explaining complex cognition.