- Paperback: 240 pages
- Publisher: Edinburgh University Press; 1 edition (February 13, 2007)
- Language: English
- ISBN-10: 0748620990
- ISBN-13: 978-0748620999
- Product Dimensions: 6.1 x 1 x 9.2 inches
- Shipping Weight: 12.6 ounces (View shipping rates and policies)
- Average Customer Review: 1 customer review
- Amazon Best Sellers Rank: #1,181,854 in Books (See Top 100 in Books)
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Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence 1st Edition
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This book is an excellent introduction to some of the most important problems within the philosophy of artificial intelligence... Carter's book is in fact highly interdisciplinary, but he has clearly succeeded in integrating some very crucial topics regarding artificial intelligence in a clever and thought-provoking manner... The book will be an excellent choice as a textbook to be used for a university course introducing important and interesting problems within the philosophy of artificial intelligence. History and Philosophy of Logic Like good science fiction, Matt Carter's Minds and Computers essentially constitutes an exploration into what makes human beings what they are... [It] is a teaching tool par excellence and should find its way into every classroom where the philosophy of mind is being studied. Heythrop Journal
About the Author
Matt Carter is Lecturer in Philosophy at the Melbourne University
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The tour begins, quite properly, in the very beginning with a review of Cartesian dualism followed by concise discussions of behaviorism, neuroanatomy, Australian (or reductive) materialism, and functionalism. The classical symbolic computational architecture thesis of AI is then examined in some detail. Subsequent chapters delve into particular issues of interest, including computationalism, standard AI search techniques, machine and human reasoning, machine and human language, and artificial neural networks. Even automated game playing, a perennial AI favorite, gets a little chapter of its own. Classic AI icons are, of course, showcased: the Turing test, expert systems, the Chinese room. Alas, 200-odd pages impose severe limits; thus Minsky and Simon and Newell and McCarthy and many other legendary heavyweights don't even make it into the footnotes. Actually, there are no footnotes. Nor endnotes. But there are excellent suggestions for further reading and a very helpful glossary in the appendices.
This book is simply wonderful. It's everything you wanted to know about cog sci delivered under the label of AI. That is fine. It was, after all, good old fashioned AI that got the ball rolling in the first place. Think of the book as a broad-based introduction to AI sans the messy programming requirements. Naturally, possession of an alert brain is de rigueur.