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Title: Artificial Intelligence (3rd Edition) by Patrick Henry Winston ISBN: 0-201-53377-4 Publisher: Addison Wesley Publishing Company Pub. Date: 15 January, 1992 Format: Hardcover Volumes: 1 List Price(USD): $101.00 |
Average Customer Rating: 3.5 (8 reviews)
Rating: 1
Summary: Can't get worse
Comment: This book is bad (period). It is very incoherent and ill-organized. The examples are vague and serve anything but support the material. Very theoritical with hardly any real life applications. Lacking in modern AI topics/game design.
Rating: 1
Summary: Miserable AI book - avoid at all costs
Comment: Winston's book is really terrible. I mean truly repellently, malignantly bad. "Can it really be as bad as all that?" you wonder. Yes!! It's that bad!! For starters, the book is poorly organized. Topics that logically belong together are often several chapters apart. There is no overall structure to the book. It seems like a collection of topics in AI that were hastily assembled without concern for thematic organization or flow. For example, the forward and backward chaining algorithms are presented in a chapter (Ch. 7) on rule-based systems, but are not even mentioned in the chapter (Ch. 13) on logic! Perceptron training is presented AFTER backpropagation! Contrast this with the much better book by Russell and Norvig, which uses the theme of intelligent agents as a continuing motivation throughout, and which groups related topics into logically arranged chapters.
The examples in Winston are atrocious. The main example in the backpropagation chapter is some kind of classification network with a bizarre topography. This example is so trivial and weird that it totally fails to illustrate the strengths of backpropagation. The explanations of generalization and overfitting in backprop training are awful.
The only chapter of this book that is not an unmitigated pedagogical disaster is the chapter on genetic algorithms, although better introductions exist (e.g. Melanie Mitchell).
A further annoyance is the placement of all the exercises at the end of the book instead of the end of the chapters to which they correspond.
Avoid this book. It is truly horrible, and vastly superior books on AI are readily available at comparable prices.
Rating: 5
Summary: Very useful and well written; an industry perspective:
Comment: Suppose you are, like me, a software engineer who never actually studied CS beyond junior level undergraduate 'data structures'... and now you have to work on something involving complicated pattern matching... this is how to do it: buy this book and Sipser's on the Theory of Computation. After digesting them (which is easy if you're as good with logical mathematics as the typical software engineer), you should be able to read current literature in either field, and will have a deep, fundamental understanding of how to best solve whatever problem you're working on. That's what worked for me, anyway. An excellent book, as is Sipser's.
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Title: Artificial Intelligence: A Modern Approach (2nd Edition) by Stuart J. Russell, Peter Norvig ISBN: 0137903952 Publisher: Prentice Hall Pub. Date: 20 December, 2002 List Price(USD): $89.00 |
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Title: The Essence of Artificial Intelligence by Alison Cawsey ISBN: 0135717795 Publisher: Prentice Hall PTR Pub. Date: 15 January, 1998 List Price(USD): $19.95 |
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Title: Introduction to Artificial Intelligence by Philip C. Jackson ISBN: 048624864X Publisher: Dover Publications Pub. Date: 01 July, 1985 List Price(USD): $16.95 |
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Title: AI Application Programming by M. Tim Jones ISBN: 1584502789 Publisher: Charles River Media Pub. Date: 27 March, 2003 List Price(USD): $54.95 |
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Title: Understanding Artificial Intelligence by Sandy Fritz, Scientific American ISBN: 0446678759 Publisher: Warner Books Pub. Date: 01 March, 2002 List Price(USD): $11.95 |
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