Associative Engines: Connectionism, Concepts, and Representational Change
Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view.

Connectionist approaches, Andy Clark argues, are driving cognitive science toward a radical reconception of its explanatory endeavor. At the heart of this reconception lies a shift toward a new and more deeply developmental vision of the mind—a vision that has important implications for the philosophical and psychological understanding of the nature of concepts, of mental causation, and of representational change.

Combining philosophical argument, empirical results, and interdisciplinary speculations, Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view. Clark argues that this shift makes itself felt in two main ways. First, structured representations are seen as the products of temporally extended cognitive activity and not as the representational bedrock (an innate symbol system or language of thought) upon which all learning is based. Second, the relation between thoughts (as described by folk psychology) and inner computational states is loosened as a result of the fragmented and distributed nature of the connectionist representation of concepts.

Other issues Clark raises include the nature of innate knowledge, the conceptual commitments of folk psychology, and the use and abuse of higher-level analyses of connectionist networks.

1101230773
Associative Engines: Connectionism, Concepts, and Representational Change
Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view.

Connectionist approaches, Andy Clark argues, are driving cognitive science toward a radical reconception of its explanatory endeavor. At the heart of this reconception lies a shift toward a new and more deeply developmental vision of the mind—a vision that has important implications for the philosophical and psychological understanding of the nature of concepts, of mental causation, and of representational change.

Combining philosophical argument, empirical results, and interdisciplinary speculations, Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view. Clark argues that this shift makes itself felt in two main ways. First, structured representations are seen as the products of temporally extended cognitive activity and not as the representational bedrock (an innate symbol system or language of thought) upon which all learning is based. Second, the relation between thoughts (as described by folk psychology) and inner computational states is loosened as a result of the fragmented and distributed nature of the connectionist representation of concepts.

Other issues Clark raises include the nature of innate knowledge, the conceptual commitments of folk psychology, and the use and abuse of higher-level analyses of connectionist networks.

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Associative Engines: Connectionism, Concepts, and Representational Change

Associative Engines: Connectionism, Concepts, and Representational Change

by Andy Clark
Associative Engines: Connectionism, Concepts, and Representational Change

Associative Engines: Connectionism, Concepts, and Representational Change

by Andy Clark

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Overview

Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view.

Connectionist approaches, Andy Clark argues, are driving cognitive science toward a radical reconception of its explanatory endeavor. At the heart of this reconception lies a shift toward a new and more deeply developmental vision of the mind—a vision that has important implications for the philosophical and psychological understanding of the nature of concepts, of mental causation, and of representational change.

Combining philosophical argument, empirical results, and interdisciplinary speculations, Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view. Clark argues that this shift makes itself felt in two main ways. First, structured representations are seen as the products of temporally extended cognitive activity and not as the representational bedrock (an innate symbol system or language of thought) upon which all learning is based. Second, the relation between thoughts (as described by folk psychology) and inner computational states is loosened as a result of the fragmented and distributed nature of the connectionist representation of concepts.

Other issues Clark raises include the nature of innate knowledge, the conceptual commitments of folk psychology, and the use and abuse of higher-level analyses of connectionist networks.


Product Details

ISBN-13: 9780262513777
Publisher: MIT Press
Publication date: 01/01/2003
Series: A Bradford Book
Pages: 268
Product dimensions: 6.10(w) x 9.10(h) x 0.90(d)
Age Range: 18 Years

About the Author

Andy Clark is Doctor of Philosophy at the School of Cognitive and Computing Sciences at the University of Sussex.

What People are Saying About This

From the Publisher

Andy Clark sets out to make the (philosophical) world safe for connectionism, and succeeds brilliantly. No one writing about the philosophical underpinnings of connectionism is as careful with distinctions, thorough in empirical review, and balanced in judgment.

Dan Lloyd, Associate Professor, Department of Philosophy, Trinity College

Dan Lloyd

Andy Clark sets out to make the (philosophical) world safe for connectionism, and succeeds brilliantly. No one writing about the philosophical underpinnings of connectionism is as careful with distinctions, thorough in empirical review, and balanced in judgment.

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