Artificial Intelligence: A Modern Approach (3rd Edition) |  | Authors: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
Category: Book
List Price: $128.00
Buy New: $94.99
as of 3/16/2010 17:34 WIT details
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New (22) Used (9) from $46.00
Seller: hopper1967
Rating:  6 reviews
Media: Hardcover
Edition: 3
Pages: 1152
Number Of Items: 1
Shipping Weight (lbs): 4.8
Dimensions (in): 10 x 8.2 x 1.8
ISBN: 0136042597
Dewey Decimal Number: 006
EAN: 9780136042594
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Product Description
The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
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| Customer Reviews:
Showing reviews 1-5 of 6
 Great overview of the field December 14, 2009
Tech Enthusiast (Los Altos, CA)
4 out of 20 found this review helpful
Just got the book, so I haven't read it fully, but a first pass review already convinced that this will be a key reference in the blossoming field of machine learning. It is amazing to see the progress in the field over the past decades, as evidenced by the changes of the versions of the book, and humbling to think of how much we still have to understand and learn in this field.
Page turner December 14, 2009
D. Webb
5 out of 23 found this review helpful
I've only had the book for about a week and given that it's finals week I have not been able to devote as much time to reading it as I would like. With that said I find myself constantly reaching for it because it is both well written, though a little verbose at times, and compelling. It seems the authors have considered every little detail, even the cover is intricate and completely relevant to the topic. Assuming the rest of the book is as good as the first part I expect this book to be a reference for a long time to come.
 Not big changes but still good January 22, 2010
G. Sarria
10 out of 10 found this review helpful
Artificial Intelligence: A Modern approach is a very good book which explores concepts in the area of AI. It covers most of the techniques in the area (there are some important AI techniques missing such as KDD and Data Mining), however it doesn't go deep in any concept so if you're looking for a specialized reference this is not the one.
The third edition of this book offers a few changes:
- a very updated list of references
- some (not many) new exercises
- they rewrote concepts in order to be up-to-date with the state of the art
- they changed the order of some chapters
All in all, it is still a very good introductory book, it is well-written and very easy to understand. If you are new in the field this is the first textbook to read.
 Heavily used in class, but like most textbooks too expensive February 22, 2010
Quinn Hawkins (Seattle, WA)
0 out of 1 found this review helpful
Sadly the third eddition feels like part of the textbook racket where new editions are created with more of an aim at increasing profits than increasing quality. Besides that gripe I found the book to be a better than average textbook. I've used it much more heaviled that many other textbooks I've purchased.
 A disappointment: minor update not worth the money February 3, 2010
Damon Deville (Paris, France)
23 out of 24 found this review helpful
- With AIMA 1st Edition, I had relearned AI anew from a fresh, insightful and wonderfully pedagogical perspective.
Best computer science textbook ever.
- With AIMA 2nd Edition, I got a lot of recent advances in AI brought to me in the same way, even if presented at times in a way that was too concise for a textbook, and read more like an encyclopedia.
Yet, great 2nd Edition.
- This 3rd Edition is alas AIMA 2.1 and not the AIMA 3.0 that I was waiting for. The new material and new insightful way to organize past material are both scant. Certainly not worth the price for those who own the 2nd Edition.
Don't get me wrong, if you are about to buy your first AI textbook, this is a great buy as it is still light years ahead of the competition. But some chapters that were getting really thin and outdated in 2009 did not get significant updating.
This is particularly true for knowledge representation. Missing are all the recent yet already consolidated advances brought about by the new solutions to the frame problem (such as the fluent calculus), default reasoning, abduction-based and case-based diagnosis, rule-based reasoning (such as constraint handling rules, answer sets, object-oriented logic programming etc.), in short, all forms of reasoning that are neither pure deduction, nor probabilistic. Advances on multi-agent reasoning are also not covered. I understand that to summarize AI in 1000 pages many important topics will not make the cut, but I feel, as a researcher on the topic for the past 25 years and lecturer on it for the past 15 years, that this 3rd edition contains obsolete stuff from the 80s (like frames, semantic networks, production systems, situation calculus, etc.) instead of their modern substitute listed above.
In short, after two Herculean efforts, it seems like the authors put far less work in this one. As a result, we are left without an truly comprehensive and up-to-date text to teach AI and agents. I hope the incoming text by David Poole will cover some of the weaknesses of this AIMA 2.1.
Showing reviews 1-5 of 6
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