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Anthony Chemero
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Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0001
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0002
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0003
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0004
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0005
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0006
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0007
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0008
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0009
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0010
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0011
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0012
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0013
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0014
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0015
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0016
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0017
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0018
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.003.0019
EISBN: 9780262258678
Publisher: The MIT Press
Published: 21 August 2009
DOI: 10.7551/mitpress/8367.001.0001
EISBN: 9780262258678
A proposal for a new way to do cognitive science argues that cognition should be described in terms of agent-environment dynamics rather than computation and representation. While philosophers of mind have been arguing over the status of mental representations in cognitive science, cognitive scientists have been quietly engaged in studying perception, action, and cognition without explaining them in terms of mental representation. In this book, Anthony Chemero describes this nonrepresentational approach (which he terms radical embodied cognitive science), puts it in historical and conceptual context, and applies it to traditional problems in the philosophy of mind. Radical embodied cognitive science is a direct descendant of the American naturalist psychology of William James and John Dewey, and follows them in viewing perception and cognition to be understandable only in terms of action in the environment. Chemero argues that cognition should be described in terms of agent-environment dynamics rather than in terms of computation and representation. After outlining this orientation to cognition, Chemero proposes a methodology: dynamical systems theory, which would explain things dynamically and without reference to representation. He also advances a background theory: Gibsonian ecological psychology, “shored up” and clarified. Chemero then looks at some traditional philosophical problems (reductionism, epistemological skepticism, metaphysical realism, consciousness) through the lens of radical embodied cognitive science and concludes that the comparative ease with which it resolves these problems, combined with its empirical promise, makes this approach to cognitive science a rewarding one. “Jerry Fodor is my favorite philosopher,” Chemero writes in his preface, adding, “I think that Jerry Fodor is wrong about nearly everything.” With this book, Chemero explains nonrepresentational, dynamical, ecological cognitive science as clearly and as rigorously as Jerry Fodor explained computational cognitive science in his classic work The Language of Thought.