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Routledge Handbook of the Computational Mind [Mīkstie vāki]

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  • Formāts: Paperback / softback, 526 pages, height x width: 246x174 mm, weight: 970 g
  • Sērija : Routledge Handbooks in Philosophy
  • Izdošanas datums: 18-Dec-2020
  • Izdevniecība: Routledge
  • ISBN-10: 0367733668
  • ISBN-13: 9780367733667
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Routledge Handbook of the Computational MindPalielināt
  • Formāts: Paperback / softback, 526 pages, height x width: 246x174 mm, weight: 970 g
  • Sērija : Routledge Handbooks in Philosophy
  • Izdošanas datums: 18-Dec-2020
  • Izdevniecība: Routledge
  • ISBN-10: 0367733668
  • ISBN-13: 9780367733667
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780367733667.html
Keywords:
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.

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

Introduction Mark Sprevak and Matteo Colombo Part 1: History and Future
Directions
1. Computational thought from Descartes to Lovelace Alistair M.C.
Isaac
2. Turing and the first electronic brains: What the papers said Diane
Proudfoot and Jack Copeland
3. British cybernetics Joe Dewhurst
4.
Cybernetics Tara H. Abraham
5. Turing-equivalent computation at the
"conception" of cognitive science Kenneth Aizawa
6. Connectionism and
post-connectionist models Cameron Buckner and James Garson
7. Artificial
Intelligence Murray Shanahan Part 2: Types of Computing
8. Classical
computational models Richard Samuels
9. Explanation and connectionist models
Catherine Stinson
10. Dynamic information processing Frank Faries and Anthony
Chemero
11. Probabilistic models David Danks
12. Prediction error
minimization in the brain Jakob Hohwy Part 3: Foundations and Challenges
13.
Triviality arguments about computational implementation Mark Sprevak
14.
Computational implementation J. Brendan Ritchie and Gualtiero Piccinini
15.
Computation and levels in cognitive and neural sciences Lotem Elber-Dorozko
and Oron Shagrir
16. Reductive explanation between psychology and
neuroscience Daniel A. Weiskopf
17. Helmholtzs vision: Underdetermination,
behavior and the brain Clark Glymour and Ruben Sanchez-Romero
18. The nature
and function of content in computational models Frances Egan
19. Maps, models
and computational simulations in the mind William Ramsey
20. The cognitive
basis of computation: Putting computation in its place Daniel D. Hutto, Erik
Myin, Anco Peeters and Farid Zahnoun
21. Computational explanations and
neural coding Rosa Cao
22. Computation, consciousness, and "Computation and
consciousness" Colin Klein
23. Concepts, symbols and computation: An
integrative approach Jenelle Salisbury and Susan Schneider
24. Embodied
cognition Marcin Mikowski
25. Tractability and the computational mind Jakub
Szymanik and Rineke Verbrugge Part 4: Applications
26. Computational
cognitive neuroscience Carlos Zednik
27. Simulation in computational
neuroscience Liz Irvine
28. Learning and reasoning Matteo Colombo
29. Vision
Mazviita Chirimuuta
30. Perception without computation? Nico Orlandi
31.
Motor computation Michael Rescorla
32. Computational models of emotion Xiaosi
Gu
33. Computational psychiatry Stefan Brugger and Matthew Broome
34.
Computational approaches to social cognition John Michael and Miles MacLeod
35. Computational theories of group behavior Bryce Huebner and Joseph Jebari.
Index
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.