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Mind Design II: Philosophy, Psychology, Artificial Intelligence

✍ Scribed by John Haugeland (ed.)


Publisher
The MIT Press
Year
1997
Tongue
English
Leaves
488
Series
A Bradford book
Edition
2nd, rev. and enlarged
Category
Library

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✦ Synopsis


Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the "how" than the "what." An experiment in mind design is more likely to be an attempt to build something and make it workβ€”as in artificial intelligenceβ€”than to observe or analyze what already exists. Mind design is psychology by reverse engineering.

When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's "Computing Machinery and Intelligence") and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are "philosophical" in that they address fundamental issues and concepts; and all are "scientific" in that they are technically sophisticated and concerned with concrete empirical research.

Contributors
Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

✦ Table of Contents


Cover
Title Page
Content
1. What Is Mind Design
2. Computing Machinery and Intelligence
3. True Believers: The Intentional Strategy and Why It Works
4. Computer Science as Empirical Inquiry: Symbols and Search
5. A Framework for Representing Knowledge
6. From Micro-Worlds to Knowledge Representation: Al at an Impasse
7. Minds, Brains, and Programs
8. The Architecture of Mind: A Connectionist Approach
9. Connectionist Modeling: Neural Computation/ Mental Connections
10. On the Nature of Theories: A Neurocomputational Perspective
11. Connectionism and Cognition
12. Connectionism and Cognitive Architecture: A Critical Analysis
13. Connectionism, Eliminativism, and the Future of Folk Psychology
14. The Presence of a Symbol
15. Intelligence without Representation
16. Dynamics and Cognition
Acknowledgments
Bibliography


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