The Routledge Handbook of the Computational Mind / edited by Mark Sprevak and Matteo Colombo.

Gardado en:
Detalles Bibliográficos
Edición:First edition.
Publicado: Boca Raton, FL : Routledge, [2018].
Acceso en liña:
Autor Corporativo:
Taylor and Francis
Outros autores:
Sprevak, Mark (Editor)
Colombo, Matteo (Editor)
Series:Routledge handbooks in philosophy.
Subjects:
Computational intelligence.
Cognitive science.
Computational neuroscience.
Philosophy of mind.
Formato: Electrónico eBook
The Routledge Handbook of the Computational Mind /

MARC

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245 0 4 |a The Routledge Handbook of the Computational Mind /  |c edited by Mark Sprevak and Matteo Colombo. 
250 |a First edition. 
264 1 |a Boca Raton, FL :  |b Routledge,  |c [2018]. 
264 4 |c ©2019. 
300 |a 1 online resource (526 pages) :  |b 1 illustrations, text file, PDF. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
490 1 |a Routledge Handbooks in Philosophy 
504 |a Includes bibliographical references and index. 
505 0 0 |t Introduction Mark Sprevak and Matteo Colombo --  |t Part 1: History and Future Directions --  |t 1. Computational thought from Descartes to Lovelace Alistair M.C. Isaac --  |t 2. Turing and the first electronic brains: What the papers said Diane Proudfoot and Jack Copeland --  |t 3. British cybernetics (or The disembodiment of mind) Joe Dewhurst --  |t 4. Cybernetics Tara H.Abraham --  |t 5. Turing-equivalent computation at the "conception" of cognitive science Kenneth Aizawa --  |t 6. Connectionism and post-connectionist models Cameron Buckner and James Garson --  |t 7. Artificial Intelligence Murray Shanahan --  |t Part 2: Types of Computing --  |t 8. Classical computational models Richard Samuels --  |t 9. Explanation and connectionist models Catherine Stinson --  |t 10. Dynamic information processing Frank Faries and Anthony Chemero --  |t 11. Probabilistic models David Danks --  |t 12. Prediction error minimization in the brain Jakob Hohwy --  |t Part 3: Foundations and Challenges --  |t 13. Triviality arguments about implementation Mark Sprevak --  |t 14. Computational implementation J. Brendan Ritchie and Gualtiero Piccinini --  |t 15. Computation and levels in cognitive and neural sciences-- Lotem Elber-Dorozko and Oron Shagrir --  |t 16. Reductive explanation between psychology and neuroscience Daniel A. Weiskopf --  |t 17. Helmholtzs vision: Underdetermination, behavior and the brain Clark Glymour and Ruben Sanchez-Romero --  |t 18. The nature and function of content in computational models Frances Egan --  |t 19. Maps, models and computational simulations in the mind William Ramsey --  |t 20. The cognitive basis of computation: Putting computation in its place Daniel D. Hutto, Erik Myin, Anco Peeters and Farid Zahnoun --  |t 21. Computational explanations and neural coding Rosa Cao --  |t 22. Computation, consciousness, and "Computation and consciousness" Colin Klein --  |t 23. Concepts, symbols and computation: An integrative approach Jenelle Salisbury and Susan Schneider --  |t 24. Embodied cognition Marcin Mikowski --  |t 25. Tractability and the computational mind Jakub Szymanik and Rineke Verbrugge --  |t Part 4: Applications --  |t 26. Computational cognitive neuroscience Carlos Zednik --  |t 27. Simulation in computational neuroscience Liz Irvine --  |t 28. Learning and reasoning Matteo Colombo --  |t 29. Vision Mazviita Chirimuuta --  |t 30. Perception without computation? Nico Orlandi --  |t 31. Motor computation Michael Rescorla --  |t 32. Computational models of emotion Xiaosi Gu --  |t 33. Computational psychiatry-- Stefan Brugger and --Matthew Broome --  |t 34. Computational approaches to social cognition John Michael and Miles MacLeod --  |t 35. Computational theories of group behavior Bryce Huebner and Joseph Jebari. --  |t Index 
520 3 |a 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. 
530 |a Also available in print format. 
650 0 |a Computational intelligence. 
650 0 |a Cognitive science. 
650 0 |a Computational neuroscience. 
650 0 |a Philosophy of mind. 
700 1 |a Sprevak, Mark,  |e editor. 
700 1 |a Colombo, Matteo,  |e editor. 
710 2 |a Taylor and Francis. 
776 0 8 |i Print version:  |z 9781138186682 
830 0 |a Routledge handbooks in philosophy. 
856 4 0 |y Connect to electronic resource  |u https://go.openathens.net/redirector/canterbury.ac.nz?url=https://www.taylorfrancis.com/books/9781315643670  |t 0 
943 |a Taylor & Francis 2020 EBS owned title 
945 |b DO NOT SET  |c Automatic 
991 |a 2020-01-08 
992 |a Created by wewu, 08/01/2020. Updated by wewu, 21/04/2021. 
999 f f |i 1f63f827-f0af-5d15-8af3-540aaa651db4  |s f3f0ce9f-958a-5486-83e8-f4c32c6c0a92  |t 0 

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