The Routledge Handbook of the Computational Mind

Herausgeber: Colombo, Matteo; Sprevak, Mark

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: Routledge
• Seitenzahl: 528
• Erscheinungstermin: 18. Dezember 2020
• Englisch
• Abmessung: 246mm x 174mm x 28mm
• Gewicht: 929g
• ISBN-13: 9780367733667
• ISBN-10: 0367733668
• Artikelnr.: 62939361

Autorenporträt

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.

Inhaltsangabe

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