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Artificial Intelligence: A Modern Approach (2nd Edition) (Prentice Hall Series in Artificial Intelligence)
by: Stuart Russell, Peter Norvig

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Binding: Hardcover
Dewey Decimal Number: 006.3
EAN: 9780137903955
ISBN: 0137903952
Label: Prentice Hall
Manufacturer: Prentice Hall
Number Of Items: 1
Number Of Pages: 1132
Publication Date: December 30, 2002
Publisher: Prentice Hall
Sales Rank: 2501
Studio: Prentice Hall

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Editorial Review:

Product Description:
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.

Amazon.com 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.

Customer Reviews

Average Rating: out of 5 stars

Rating:

- Who's fault - author or teacher???
I could not wait to sign up for Artificial Intelligence having worked in the field of Motion Control and being fascinated with robotics and AI from a young age. I cannot express how utterly disappointed I was once the class began and once I opened this book.

It is beyond me why, with as much as we know about human learning patterns and processes in this day and age, that a topic that is so exponentially cool and intriguing could be presented in such a DRY and BORING manner. Perhaps this book is meant for the advanced AI Engineer and not an entry level student? If it is the former then I leave you to the reviews of people far more experienced than I in this field. If it is the latter then this is definitely the wrong book.

Professors, Instructors, Teachers: I implore you to use a different book/approach when introducing your students to Artificial Intelligence. You may attract more ... Read More

Rating:

- Probably the best known book on artificial intelligence
This is the text that was used in the Artificial Intelligence (AI) computer science course at Wisconsin while I was an undergraduate. It's widely considered one of the best AI references available today. This book was my *sole resource* in implementing decision trees, neural networks, and search and other algoriths such as GSAT, WALKSAT, and Simulated Annealing. It was also very useful for propositional logic programming in PROLOG.

Some reviewers have complained that the text is too long and complicated. To that point I would say that AI is a complex field and to fully understand it you need to go into a good bit of depth. For me personally, it was easier to learn by looking at real-life applications rather than mathematical explanations. Many of my programs were what I would consider to be some of the coolest programs I have ever written -- to me, machine learning is such an incredible concept ... Read More

Rating:

- Excellent Introductory Text
I have found this text to be a very readable introduction to the algorithms and methods used in intelligent agents. It assumes the reader has some familiarity with concepts regarding algorithms and implementation but does not assume the reader is an advanced computer scientist. I did not use many of the exercises or online resources but found the text to be excellent.

Rating:

- Excellent AI book
Recommended for people looking for a good, but not that mathematical, summary of the field.

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