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  Enaction, Embodiment, Evolutionary Robotics: Simulation Models for a Post-Cognitivist Science of Mind

Rohde, M. (2010). Enaction, Embodiment, Evolutionary Robotics: Simulation Models for a Post-Cognitivist Science of Mind. Paris, France: Atlantis Press.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C00A-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-688F-9
Genre: Book

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 Creators:
Rohde, M1, 2, Author              
Affiliations:
1Research Group Multisensory Perception and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497806              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The book "Enaction, Embodiment, Evolutionary Robotics" proposes how a particular kind of simulation model, i.e. Evolutionary Robotics simulations, can help to solve several problems in Cognitive Science. Examples discussed in the book ranges from motor control, neuroscientific theory, social contingency and time perception. It is argued that methodological minimalism can be a merit, not a shortcoming, even when studying something as complex as the human mind. The book concludes by proposing a new minimalist interdisciplinary framework for the study of perception, combining simulation modeling, experimental methods and accounts of subjective experience. This book endorses an enactive and constructivist view on the human mind, in opposition to the traditional information-processing view. Furthermore, the book discusses and presents the enactive approach, clarifies the assets of this view and how it differs from other proposed alternatives to the computationalist paradigm in AI and Cognitive Science, crucial and missing in the ongoing embodied turn. The book also presents new experimental results on a number of topics and points out connections between them. Finally, the book proposes a novel framework for the study of perception that combines a number of methods, including computational modeling, in a previously unseen and promising way.

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 Dates: 2010-05
 Publication Status: Published in print
 Pages: 242
 Publishing info: Paris, France : Atlantis Press
 Table of Contents: -
 Rev. Method: -
 Identifiers: ISBN: 978-90-78677-23-9
BibTex Citekey: 6445
 Degree: -

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Title: Thinking Machines
Source Genre: Series
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Pages: - Volume / Issue: 1 Sequence Number: - Start / End Page: - Identifier: ISSN: 1877-3273