Literature DB >> 25755203

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

Larissa K Samuelson1, Gavin W Jenkins, John P Spencer.   

Abstract

Marr's seminal work laid out a program of research by specifying key questions for cognitive science at different levels of analysis. Because dynamic systems theory (DST) focuses on time and interdependence of components, DST research programs come to very different conclusions regarding the nature of cognitive change. We review a specific DST approach to cognitive-level processes: dynamic field theory (DFT). We review research applying DFT to several cognitive-level processes: object permanence, naming hierarchical categories, and inferring intent, that demonstrate the difference in understanding of behavior and cognition that results from a DST perspective. These point to a central challenge for cognitive science research as defined by Marr-emergence. We argue that appreciating emergence raises questions about the utility of computational-level analyses and opens the door to insights concerning the origin of novel forms of behavior and thought (e.g., a new chess strategy). We contend this is one of the most fundamental questions about cognition and behavior.
Copyright © 2015 Cognitive Science Society, Inc.

Entities:  

Keywords:  Cognitive processes; Dynamic systems; Emergence; Levels of analysis; Marr; Representations; Word learning

Mesh:

Year:  2015        PMID: 25755203      PMCID: PMC4475347          DOI: 10.1111/tops.12129

Source DB:  PubMed          Journal:  Top Cogn Sci        ISSN: 1756-8757


  33 in total

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8.  Estimates of the contribution of single neurons to perception depend on timescale and noise correlation.

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Authors:  Jeffrey S Johnson; John P Spencer; Steven J Luck; Gregor Schöner
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10.  Word learning as Bayesian inference.

Authors:  Fei Xu; Joshua B Tenenbaum
Journal:  Psychol Rev       Date:  2007-04       Impact factor: 8.934

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  3 in total

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Authors:  Gavin W Jenkins; Larissa K Samuelson; Will Penny; John P Spencer
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