Authors: Peter Norvig and Stuart Russell

Publisher: Prentice Hall

Publication Date: 2002 (2nd edition)

ISBN: 0-13-790395-2

Pages: 1132

Website: http://aima.cs.berkeley.edu/

NEM: Probably the single most comprehensive undergraduate/graduate level textbook on Artificial Intelligence. Presents a unified view of the many sub-fields of the subject by exploring various designs for Intelligent Agents. Topics covered include:

• Problem solving and planning using search (see e.g. Searching A Star in Space);
• Genetic Algorithms;
• Constraint satisfaction problems;
• Decision Theory;
• Knowledge Representation and First-Order Logic;
• Uncertainty and Probabilistic Reasoning (including Bayesian Networks);
• Various methods of Machine Learning and Neural Networks;
• Perception (e.g. Speech Recognition, vision processing);
• Robotics;
• Philosophy and History of AI.

Check the book's website for more information including sample chapters and a full table of contents.

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