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Routledge Handbook of the Computational Mind [Hardback]

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  • Formāts: Hardback, 510 pages, height x width: 246x174 mm, weight: 1044 g, 1 Tables, black and white
  • Sērija : Routledge Handbooks in Philosophy
  • Izdošanas datums: 28-Aug-2018
  • Izdevniecība: Routledge
  • ISBN-10: 1138186686
  • ISBN-13: 9781138186682
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  • Cena: 301,80 €
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  • Formāts: Hardback, 510 pages, height x width: 246x174 mm, weight: 1044 g, 1 Tables, black and white
  • Sērija : Routledge Handbooks in Philosophy
  • Izdošanas datums: 28-Aug-2018
  • Izdevniecība: Routledge
  • ISBN-10: 1138186686
  • ISBN-13: 9781138186682
Citas grāmatas par šo tēmu:
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 approachFoundations and challenges of computational approachesApplications 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.

Recenzijas

"One of the many strengths of this volume, skilfully edited by Mark Sprevak and Matteo Colombo, is that it reminds us of how long scientists many of them psychiatrists (including R. D. Laing) have wrestled with issues of computation in the mind and brain. This book is particularly timely given the wealth of opinion pieces and working-group position papers on computational psychiatry[ .] My academic work is infused by computation and, rather than the busmans holiday feel I get from many books on topics in which I feel invested, I felt inspired and eager to learn more after reading this book. ... The Handbook grounds computational psychiatry as a tool rather than a doctrine, a balanced and practical approach I suspect [ Ada] Lovelace would have endorsed." - Philip R. Corlett, The British Journal of Psychiatry

"Anyone interested in the fundamental issues confronted by computational approaches to mind will find this collection indispensable. Packed full of penetrating and insightful analyses from expert contributors, it not only perfectly captures the history and the current state of this important field, it helps set the agenda for its future." - Michael Wheeler, University of Stirling, UK

"This Handbook offers an unparalleled guide to navigating the world of computational cognitive science. It is a timely reminder of why cognitive science needs philosophy: our empirical claims are only as good as the conceptual frameworks that undergird them." - Sam Gershman, Harvard University, USA

"This excellent book will be the foundation of myriad university courses. Particularly impressive is the way that many of the chapters adopt an approach that is informed, but never overwhelmed, by philosophical reasoning. This makes the book an incisive and informative read." - Peter Dayan, University College London, UK

"This is an indispensable resource not only for understanding the strengths and weaknesses of the computational view of mind, but for understanding exactly what that view is. This is the place to go for the clearest, most up-to-date expositions of the key claims and concepts concerning the computational mind." - Ron Chrisley, University of Sussex, UK

Notes on contributors viii
Acknowledgments xvi
Introduction 1(6)
Mark Sprevak
Matteo Colombo
PART I History and future directions
7(94)
1 Computational thought from Descartes to Lovelace
9(14)
Alistair M. C. Isaac
2 Turing and the first electronic brains: What the papers said
23(15)
Diane Proudfoot
Jack Copeland
3 British cybernetics
38(14)
Joe Dewhurst
4 Cybernetics
52(13)
Tara H. Abraham
5 Turing-equivalent computation at the "conception" of cognitive science
65(11)
Kenneth Aizawa
6 Connectionism and post-connectionist models
76(15)
Cameron Buckner
James Garson
7 Artificial intelligence
91(10)
Murray Shanahan
PART II Types of computing
101(72)
8 Classical computational models
103(17)
Richard Samuels
9 Explanation and connectionist models
120(14)
Catherine Stinson
10 Dynamic information processing
134(15)
Frank Faries
Anthony Chemero
11 Probabilistic models
149(10)
David Danks
12 Prediction error minimization in the brain
159(14)
Jakob Hohwy
PART III Foundations and challenges
173(182)
13 Triviality arguments about computational implementation
175(17)
Mark Sprevak
14 Computational implementation
192(13)
J. Brendan Ritchie
Gualtiero Piccinini
15 Computation and levels in the cognitive and neural sciences
205(18)
Lotem Elber-Dorozko
Oron Shagrir
16 Reductive explanation between psychology and neuroscience
223(14)
Daniel A. Weiskopf
17 Helmholtz's vision: Underdetermination, behavior and the brain
237(10)
Clark Glymour
Ruben Sanchez-Romero
18 The nature and function of content in computational models
247(12)
Frances Egan
19 Maps, models and computational simulations in the mind
259(13)
William Ramsey
20 The cognitive basis of computation: Putting computation in its place
272(11)
Daniel D. Hutto
Erik Myin
Anco Peeters
Farid Zahnoun
21 Computational explanations and neural coding
283(14)
Rosa Cao
22 Computation, consciousness, and "Computation and consciousness"
297(13)
Colin Klein
23 Concepts, symbols, and computation: An integrative approach
310(13)
Jenelle Salisbury
Susan Schneider
24 Embodied cognition
323(16)
Marcin Milkowski
25 Tractability and the computational mind
339(16)
Jakub Szymanik
Rineke Verbrugge
PART IV Applications
355(142)
26 Computational cognitive neuroscience
357(13)
Carlos Zednik
27 Simulation in computational neuroscience
370(11)
Liz Irvine
28 Learning and reasoning
381(16)
Matteo Colombo
29 Vision
397(13)
Mazviita Chirimuuta
30 Perception without computation?
410(14)
Nico Orlandi
31 Motor computation
424(12)
Michael Rescorla
32 Computational models of emotion
436(16)
Xiaosi Gu
33 Computational psychiatry
452(17)
Stefan Brugger
Matthew Broome
34 Computational approaches to social cognition
469(14)
John Michael
Miles MacLeod
35 Computational theories of group behavior
483(14)
Bryce Huebner
Joseph Jebari
Index 497
Mark Sprevak is a Senior Lecturer in Philosophy at the University of Edinburgh, UK. His book The Computational Mind is forthcoming from Routledge.

Matteo Colombo is an Assistant Professor at the Tilburg Center for Logic, Ethics, and Philosophy of Science, Tilburg University, The Netherlands; and a Humboldt Research Fellow at the Clinic for Psychiatry and Psychotherapy, Charité University Clinic Berlin, Germany.