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The Routledge handbook of the computational mind

Author: Mark Sprevak; Matteo Colombo
Publisher: London : Routledge, 2018.
Series: Routledge handbooks in philosophy
Edition/Format:   eBook : Document : English : 1stView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version :
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mark Sprevak; Matteo Colombo
ISBN: 9781317286714 1317286715 9781317286721 1317286723 9781317286707 1317286707 9781315643670 1315643677
OCLC Number: 1053862695
Notes: 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
Description: 1 online resource
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. 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
Series Title: Routledge handbooks in philosophy
Other Titles: Handbook of the computational mind
Computational mind
Responsibility: edited by Mark Sprevak and Matteo Colombo.

Abstract:

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.

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"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) - Read more...

 
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