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Artificial Intelligence: A Modern Approach (2nd Edition) (Prentice Hall Series in Artificial Intelligence)
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Binding: Hardcover
Dewey Decimal Number: 006.3
EAN: 9780137903955
Edition: 2
ISBN: 0137903952
Label: Prentice Hall
Manufacturer: Prentice Hall
Number Of Items: 1
Number Of Pages: 1132
Publication Date: December 30, 2002
Publisher: Prentice Hall
Studio: Prentice Hall
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Editorial Review:
Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as "anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors." This textbook is up-to-date and is organized using the latest principles of good textbook design. It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a wide array of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.
The long-anticipated revision of this best-selling book offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. 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 those interested in artificial intelligence.
Customer Reviews
Average Rating: 
Rating:  - Superficial, not clear, not a good choice
I'm currently teaching AI. Since it's the standard textbook for AI courses, I decided to use Russel&Norvig's book, and I am really disappointed.
The book is too superficial, trying to cover too much, and their notation and explanations are not always clear. For example, try to understand the Viterbi algorithm for HMMs. It's perfectly clear if you read an introductory article, but this book gives a very confusing idea of how it works. In several other parts of the book the same thing ... Read More
Rating: - Good theoretical book. Needs update though.
I enjoyed this book as a student taking an AI class. However, it was too heavy to carry it to the class. I did like book website and Google code page.
On the negative part I'd say the layout of the examples/pseudo code was ...rather inconvenient. LISP style made it a little bit awkward for a person who never saw LISP before. Some examples about evil king and his brother, and such were a little bit off... I'd rather get some real life examples. Problems at the end of chapters did not ... Read More
Rating:  - Disappointing...
Following the accolades in the reviews and having a keen interest in AI (as a physician and computer scientist) - I have dived into this book. It took me more than half a year of stubbornly trying to read and understand it. What a disappointment...
On one hand, the math is inaccessible, least you have a major in computer sciences / statistics, math - or all of the above. It seems some, if not all of the math "proofs" are unnecessary for the matter at hand. Unless there are some sinister motives ... Read More
Rating: - encyclopedic NEQ pedagogically useful
Form your own opinion on this book, don't let the gushing over this book force you into questioning your instincts
I thought I liked this book at first, but I had confused interest in AI with regard for this book.
Sure this was ground breaking. But, currently, it is bloated, full of wordy, unclear descriptions. I particularly dislike the coverage in: ch. 7, 8, 9 (logics + reasoning). ch. 13, 14 (prob, belief nets). Make the search chapters shorter, fewer. We get the idea, no ... Read More
Rating: - Well organized but disappointing in some aspects
Pros: Well organized, Description is clear and complete, good for beginners.
Cons: Examples chosen are not the best, author's attempts at humor are quite lame in most cases.
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