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The Routledge Handbook of the Computational Mind

By: (Edited by) Mark Sprevak , (Edited by) Matteo Colombo

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Ksh 9,200.00

Format: Paperback / Softback

ISBN-10: 0367733668

ISBN-13: 9780367733667

Series: Routledge Handbooks in Philosophy

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 18th, 2020

Print length: 526 Pages

Weight: 946 grams

Dimensions (height x width x thickness): 17.50 x 24.50 x 3.60 cms

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An outstanding collection omprising thirty-five chapters by an international team of contributors from different disciplines. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, and also of interest to those studying computational models in related subjects such as psychology

Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour?





The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts:









  • History and future prospects of computational approaches


  • Types of computational approach


  • Foundations and challenges of computational approaches


  • Applications to specific parts of psychology.






Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.





 


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