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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.
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List 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
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. 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 Mi¿kowski 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
About the author
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.
Summary
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
