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Self‐Organization Takes Time Too
Author(s) -
van Rooij Iris
Publication year - 2012
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/j.1756-8765.2011.01173.x
Subject(s) - computer science , task (project management) , cognition , modular design , constraint (computer aided design) , cognitive science , dynamical systems theory , artificial intelligence , cognitive psychology , theoretical computer science , psychology , mathematics , physics , geometry , management , quantum mechanics , neuroscience , economics , operating system
Four articles in this issue of topiCS (volume 4, issue 1) argue against a computational approach in cognitive science in favor of a dynamical approach. I concur that the computational approach faces some considerable explanatory challenges. Yet the dynamicists’ proposal that cognition is self‐organized seems to only go so far in addressing these challenges. Take, for instance, the hypothesis that cognitive behavior emerges when brain and body (re‐)configure to satisfy task and environmental constraints. It is known that for certain systems of constraints, no procedure can exist (whether modular, local, centralized, or self‐organized) that reliably finds the right configuration in a realistic amount of time. Hence, the dynamical approach still faces the challenge of explaining how self‐organized constraint satisfaction can be achieved by human brains and bodies in real time. In this commentary, I propose a methodology that dynamicists can use to try to address this challenge.

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