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

Format:

Book

Contributor:

Sprevak, Mark, 1977- editor.

Colombo, Matteo (Of Tilburg University), editor.

Taylor & Francis.

Series:

Routledge handbooks

Routledge handbooks in philosophy

Routledge Handbooks in Philosophy

Language:

English

Subjects (All):

Computational intelligence.

Cognitive science.

Computational neuroscience.

Philosophy of mind.

Genre:

Electronic books.

Physical Description:

1 online resource (526 pages) : 1 illustrations, text file, PDF.

Edition:

First edition.

Place of Publication:

Boca Raton, FL : Routledge, [2018].

System Details:

text file

PDF

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 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.

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

Notes:

Includes bibliographical references and index.

Other Format:

Print version:

ISBN:

9781315643670

OCLC:

1049802891

Access Restriction:

Restricted for use by site license.