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The Routledge Handbook of the Computational Mind 20% Discount with this flyer! The Routledge Handbook of the Computational Mind Edited by Mark Sprevak, Edinburgh University, UK, and Matteo Colombo, Tilburg University, The Netherlands Series: Routledge Handbooks in Philosophy In what sense is the mind computational? How do computational approaches explain perception, learning, August 2018: 246x174: 510pp and decision-making? What kinds of challenges should Hb: 978-1-138-18668-2 | £175.00 computational approaches overcome to advance our eBook: 978-1-315-64367-0 understanding of mind, brain, and behaviour? This outstanding exploration of these issues is the first philosophical collection of its kind, comprising thirty-five TABLE OF CONTENTS: chapters by international contributors from different Introduction Mark Sprevak and Matteo Colombo; Part 1: History and disciplines. 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 Essential reading for students and researchers in the (or ‘The disembodiment of mind’) Joe Dewhurst; 4. Cybernetics Tara H. Abraham; 5. Turing-equivalent computation at the "conception" of philosophies of mind, psychology, and science; and also cognitive science Kenneth Aizawa; 6. Connectionism and post-connectionist models Cameron Buckner and James Garson; 7. of interest to those studying computational models in Artificial Intelligence Murray Shanahan ; Part 2: Types of Computing 8. Classical computational models Richard Samuels; 9. Explanation and related subjects such as psychology, neuroscience, and connectionist models Catherine Stinson; 10. Dynamic information processing Frank Faries and Anthony Chemero; 11. Probabilistic models computer science. 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; 20% Discount Available - enter the code HUM19 at 16. Reductive explanation between psychology and neuroscience Daniel A. Weiskopf; 17. Helmholtz’s vision: Underdetermination, behavior checkout* 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 Hb: 978-1-138-18668-2 | £140.00 Ramsey; 20. The cognitive basis of computation: Putting computation in its place Daniel D. Hutto, Erik Myin, Anco Peeters and Farid Zahnoun; * Offer cannot be used in conjunction with any other offer or discount and only applies to 21. Computational explanations and neural coding Rosa Cao; 22. Computation, consciousness, and "Computation and consciousness" books purchased directly via our website. 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 For more details, or to request a copy for review, please contact: Abbie Chilton , Marketing Szymanik and Rineke Verbrugge; Part 4: Applications 26. Computational cognitive neuroscience Carlos Zednik; 27. Simulation in computational Assistant, [email protected] 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; For more information visit: www.routledge.com/9781138186682 .
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    17. Idealism, or Something Near Enough Susan Schneider (In Pearce and Goldsmidt, OUP, in press.) Some observations: 1. Mathematical entities do not come for free. There is a field, philosophy of mathematics, and it studies their nature. In this domain, many theories of the nature of mathematical entities require ontological commitments (e.g., Platonism). 2. Fundamental physics (e.g., string theory, quantum mechanics) is highly mathematical. Mathematical entities purport to be abstract—they purport to be non-spatial, atemporal, immutable, acausal and non-mental. (Whether they truly are abstract is a matter of debate, of course.) 3. Physicalism, to a first approximation, holds that everything is physical, or is composed of physical entities. 1 As such, physicalism is a metaphysical hypothesis about the fundamental nature of reality. In Section 1 of this paper, I urge that it is reasonable to ask the physicalist to inquire into the nature of mathematical entities, for they are doing heavy lifting in the physicalist’s approach, describing and identifying the fundamental physical entities that everything that exists is said to reduce to (supervene on, etc.). I then ask whether the physicalist in fact has the resources to provide a satisfying account of the nature of these mathematical entities, given existing work in philosophy of mathematics on nominalism and Platonism that she would likely draw from. And the answer will be: she does not. I then argue that this deflates the physicalist program, in significant ways: physicalism lacks the traditional advantages of being the most economical theory, and having a superior story about mental causation, relative to competing theories.
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