Mind Design: Philosophy, Psychology, and Artificial Intelligence [Paperback]

John Haugeland (Editor)

Book Description

Publication Date: July 13, 1981 | ISBN-10: 0262580527 | ISBN-13: 978-0262580526 | Edition: 1st Mit Pr

This book collects the most influential recent essay dealing with a new approach to understanding the mind—some searching for basic principles, others exploring theoretical implications, still others attacking the whole idea.

Mind Design is conceived as a sequel to Alan Ross Anderson's Minds and Machines (1964), augmenting it and bringing it up to date. It is intended not only for professionals in the cross-disciplinary areas of philosophy, psychology, artificial intelligence and computer science, and the cognitive and neuroscience generally; it is also designed as a student book for such courses as Philosophy of Psychology, Philosophy of Mind, Philosophy of Science, Basics of Cognitive Science, Issues in Artificial Intelligence—not to mention such general-interest, popular courses as Minds and Machines, Computers and Society.

Contents: Semantic Engines: An Introduction to Mind Design, John C. Haugeland; Computer Science as Empirical Inquiry: Symbols and Search, Alan Newell and Herbert A. Simon; Complexity and the Study of Artificial and Human Intelligence, Zenon Pylyshyn; A Framework for Representing Knowledge, Marvin Minsky; Artificial Intelligence—A Personal View, David Marr; Artificial Intelligence Meets Natural Stupidity, Drew McDermott; From Micro-Worlds to Knowledge Representation: AI at an Impasse, Hubert L. Dreyfus; Reductionism and the Nature of Psychology, Hilary Putnam; Intentional Systems, Daniel C. Dennett; The Nature and Plausibility of Cognitivism, John C. Haugeland; Minds, Brains, and Programs, John R. Searle; Methodological Solipsism Considered as a Research Strategy in Cognitive Psychology, Jerry A. Fodor; The Material Mind, Donald Davidson.

Editorial Reviews

Review

"Haugeland's anthology Mind Design is by far the best, i.e. the most complete, most up-to-date, most conceptually refined of any collection available today."
—Hubert L. Dreyfuss, University of California, Berkeley

"This is an ideal introduction for anyone who wants to think carefully and well about the exciting topic of minds and machines."
—Daniel C. Dennett, Tufts University

About the Author

John Haugeland is Associate Professor of Philosophy at the University of Pittsburgh and the editor of Mind Design: Essays in Philosophy, Psychology, and Artificial Intelligence.

Product Details

• Paperback: 368 pages
• Publisher: The MIT Press; 1st Mit Pr edition (July 13, 1981)
• Language: English
• ISBN-10: 0262580527
• ISBN-13: 978-0262580526
• Product Dimensions: 9 x 5.8 x 1.2 inches
• Shipping Weight: 14.4 ounces
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #3,448,445 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

10 of 12 people found the following review helpful:

5.0 out of 5 stars The best compendium of papers on artificial intelligence, February 7, 2000

By 

A. Linhares (BRAZIL) - See all my reviews
(REAL NAME)   

This review is from: Mind Design II: Philosophy, Psychology, and Artificial Intelligence (Paperback)

This is the best compendium of papers in artificial intelligence that I've seen (at least on the same level of "the artificial intelligence debate" -- which is also excellent).

However, some of these ideas are getting outdated. If you want to see some true innovation in AI you should check out Douglas Hofstadter's Fluid Concepts and Creative Analogies.

6 of 8 people found the following review helpful:

5.0 out of 5 stars Great Essays on A.I., February 16, 2003

By 

Christopher R. Calvi (New York, NY United States) - See all my reviews
(REAL NAME)   

This review is from: Mind Design II: Philosophy, Psychology, and Artificial Intelligence (Paperback)

Mind Design II was my first serious introduction to artificial intelligence and the issues surrounding work in this multi-disciplinary area. I found it both accessible and enlightening. That being said, it is by no means a completely light read for newcomers, and it is important to invest time into thinking about the key discussion points of the book (connectionism (NFAI) vs. GOFAI, symbolism, representation, etc.). My only complaint with the book is that it is hard to tell the difference between what is current and what isn't (Turing's essay, for instance), and the fact that it was published in 1997 doesn't make it any easier. Nevertheless, I highly recommend this book to anyone interested in learning more about the philosophy and science of "mind design."