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The Routledge Handbook of the Computational Mind

Edited by: Mark Sprevak , Matteo Colombo

Print publication date:  August  2018
Online publication date:  September  2018

Print ISBN: 9781138186682
eBook ISBN: 9781315643670
Adobe ISBN:

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Book description

<P>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?</P> <P></P><I> <P>The Routledge Handbook of the Computational Mind</I> 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 <EM>Handbook</EM> is organised into four parts:</P> <P></P> <UL> <P> <LI>History and future prospects of computational approaches </LI> <LI>Types of computational approach</LI> <LI>Foundations and challenges of computational approaches</LI> <LI>Applications to specific parts of psychology.</LI> <P></P></UL> <P></P> <P>Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, <I>The Routledge Handbook of the Computational Mind </I>will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.</P> <P></P> <P>?</P>

Table of contents

Prelims Download PDF
Introduction Download PDF
Chapter  1:  Computational thought from Descartes to Lovelace Download PDF
Chapter  2:  Turing and the first electronic brains Download PDF
Chapter  3:  British cybernetics Download PDF
Chapter  4:  Cybernetics Download PDF
Chapter  5:  Turing-equivalent computation at the “conception” of cognitive science Download PDF
Chapter  6:  Connectionism and post-connectionist models Download PDF
Chapter  7:  Artificial intelligence Download PDF
Chapter  8:  Classical computational models Download PDF
Chapter  9:  Explanation and connectionist models Download PDF
Chapter  10:  Dynamic information processing Download PDF
Chapter  11:  Probabilistic models Download PDF
Chapter  12:  Prediction error minimization in the brain Download PDF
Chapter  13:  Triviality arguments about computational implementation Download PDF
Chapter  14:  Computational implementation Download PDF
Chapter  15:  Computation and levels in the cognitive and neural sciences Download PDF
Chapter  16:  Reductive explanation between psychology and neuroscience Download PDF
Chapter  17:  Helmholtz’s vision Download PDF
Chapter  18:  The nature and function of content in computational models Download PDF
Chapter  19:  Maps, models and computational simulations in the mind Download PDF
Chapter  20:  The cognitive basis of computation Download PDF
Chapter  21:  Computational explanations and neural coding Download PDF
Chapter  22:  Computation, consciousness, and “computation and consciousness” Download PDF
Chapter  23:  Concepts, symbols, and computation Download PDF
Chapter  24:  Embodied cognition Download PDF
Chapter  25:  Tractability and the computational mind Download PDF
Chapter  26:  Computational cognitive neuroscience Download PDF
Chapter  27:  Simulation in computational neuroscience Download PDF
Chapter  28:  Learning and reasoning Download PDF
Chapter  29:  Vision Download PDF
Chapter  30:  Perception without computation? Download PDF
Chapter  31:  Motor computation Download PDF
Chapter  32:  Computational models of emotion Download PDF
Chapter  33:  Computational psychiatry Download PDF
Chapter  34:  Computational approaches to social cognition Download PDF
Chapter  35:  Computational theories of group behavior Download PDF
Index Download PDF
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