DocumentCode
617979
Title
The dynamically extended mind
Author
Froese, Tom ; Gershenson, Carlos ; Rosenblueth, D.A.
Author_Institution
Dept. de Cienc. de la Comput., Univ. Nac. Autonoma de Mexico, Mexico City, Mexico
fYear
2013
fDate
20-23 June 2013
Firstpage
1419
Lastpage
1426
Abstract
The extended mind hypothesis has stimulated much interest in cognitive science. However, its core claim, i.e. that the process of cognition can extend beyond the brain via the body and into the environment, has been heavily criticized. A prominent critique of this claim holds that when some part of the world is coupled to a cognitive system this does not necessarily entail that the part is also constitutive of that cognitive system. This critique is known as the “coupling-constitution fallacy”. In this paper we respond to this reductionist challenge by using an evolutionary robotics approach to create a minimal model of two acoustically coupled agents. We demonstrate how the interaction process as a whole has properties that cannot be reduced to the contributions of the isolated agents. We also show that the neural dynamics of the coupled agents has formal properties that are inherently impossible for those neural networks in isolation. By keeping the complexity of the model to an absolute minimum, we are able to illustrate how the coupling-constitution fallacy is in fact based on an inadequate understanding of the constitutive role of nonlinear interactions in dynamical systems theory.
Keywords
cognitive systems; evolutionary computation; multi-agent systems; neural nets; robots; acoustically coupled agents; cognition process; cognitive science; cognitive system; coupling-constitution fallacy; dynamical system theory; dynamically extended mind; evolutionary robotics approach; extended mind hypothesis; formal properties; isolated agents; neural dynamics; Chaos; Cognition; Couplings; Neurons; Robots; Sensors; Vectors; cognitive science; dynamical approach; evolutionary robotics; extended mind hypothesis; philosophy of mind;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location
Cancun
Print_ISBN
978-1-4799-0453-2
Electronic_ISBN
978-1-4799-0452-5
Type
conf
DOI
10.1109/CEC.2013.6557730
Filename
6557730
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