Understanding Nonmodular Functionality: Lessons from Genetic Algorithms.

Evolution is often characterized as a tinkerer creating efficient but messy solutions. We analyze the nature of the problems that arise when trying to explain and understand cognitive phenomena created by this haphazard design process. We present a theory of explanation and understanding and apply i...

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Bibliographic Details

Published in:	Philosophy of Science Vol. 80; no. 5; pp. 637 - 650
Main Authors:	Kuorikoski, Jaakko, Pöyhönen, Samuli
Format:	Article
Published:	Cambridge University Press Dec2013
Subjects:	Genetic algorithms Biological evolution Convenience sampling (Statistics) Cognitive science Evolutionary algorithms
Online Access:	View this record in EBSCOhost