The Routledge Handbook of the Computational Mind
Mark Sprevak & Matteo Colombo 2019
E-Book: 527 English Pages
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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.
Reviews
“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
Table of Contents
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 (or ‘The disembodiment of mind’) 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 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. Helmholtz’s 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 Miłkowski
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