Routledge handbook of the computational mind

Machine generated contents note: pt. I 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 / 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 / James Garson
7.Artificial intelligence / Murray Shanahan
pt. II Types of computing
8.Classical computational models / Richard Samuels
9.Explanation and connectionist models / Catherine Stinson
10.Dynamic information processing / Anthony Chemero
11.Probabilistic models / David Danks
12.Prediction error minimization in the brain / Jakob Hohwy
pt. III Foundations and challenges
13.Triviality arguments about computational implementation / Mark Sprevak
14.Computational implementation / Gualtiero Piccinini
Contents note continued: 15.Computation and levels in the cognitive and neural sciences / Oron Shagrir
16.Reductive explanation between psychology and neuroscience / Daniel A. Weiskopf
17.Helmholtz's vision: Underdetermination, behavior and the brain / 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 / 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 / Susan Schneider
24.Embodied cognition / Marcin Milkowski
25.Tractability and the computational mind / Rineke Verbrugge
pt. IV Applications
26.Computational cognitive neuroscience / Carlos Zednik
Contents note continued: 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 / Matthew Broome
34.Computational approaches to social cognition / Miles MacLeod
35.Computational theories of group behavior / Joseph Jebari.

Includes bibliographical references and index.

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.