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The Dynamically Extended Mind -- A Minimal Modeling Case Study

Tom Froese, Carlos Gershenson, David A. Rosenblueth

arXiv Preprint Archive May 8, 2013 via arXiv

Summary

AI-generated from the abstract

The extended mind hypothesis proposes that cognitive processes can extend beyond the brain into the body and environment, but critics argue that coupling to external elements does not make them part of cognition—a charge called the coupling-constitution fallacy. Using an evolutionary robotics approach with a minimal model of two acoustically coupled agents, the authors demonstrate that the interaction as a whole has properties not reducible to the isolated agents. They also show that the coupled agents' neural dynamics exhibit formal properties impossible for those networks in isolation. The findings suggest the fallacy stems from misunderstanding how nonlinear interactions constitute cognitive systems in dynamical systems theory.

Study at a glance

Characteristics Theoretical or philosophical paper Case report Peer reviewed
Keywords Cs.ai Cs.ne Nlin.cd
Key finding Argues that the coupling-constitution fallacy rests on an inadequate understanding of the constitutive role of nonlinear interactions in dynamical systems theory, demonstrated by a minimal evolutionary robotics model of two acoustically coupled agents.

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.

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