Top of free front endpaper has former ownership signature of Harvard economist Xavier Gabaix, who made annotation marks (chiefly underlines) on 22 pages; binding has light wear; back hinge between blank verso of p. 513 and back free endpaper has partial crack, holding. xxi, [1], 513 p., illustrated. Large heavy volume, with interesting provenance. [br 25] Size: Oversize.

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Bibliographic Details

Title: Artificial Intelligence: A New Synthesis
Publisher: Morgan Kaufmann, San Francisco
Publication Date: 1998
Language: English
ISBN 10: 1558604677
ISBN 13: 9781558604674
Binding: Pictorial Hard Cover
Edition: First Printing.
Condition: Fair
Dust Jacket Condition: Issued Without Dust Jacket

About this title

Synopsis

Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. The book provides a refreshing and motivating new synthesis of the field by one of AI's master expositors and leading researchers. Artificial Intelligence: A New Synthesis takes the reader on a complete tour of this intriguing new world of AI.

An evolutionary approach provides a unifying theme
Thorough coverage of important AI ideas, old and new
Frequent use of examples and illustrative diagrams
Extensive coverage of machine learning methods throughout the text
Citations to over 500 references
Comprehensive index

About the Author

Nils J. Nilsson's long and rich research career has contributed much to AI. He has written many books, including the classic Principles of Artificial Intelligence. Dr. Nilsson is Kumagai Professor of Engineering, Emeritus, at Stanford University. He has served on the editorial boards of Artificial Intelligence and Machine Learning and as an Area Editor for the Journal of the Association for Computing Machinery. Former Chairman of the Department of Computer Science at Stanford, and former Director of the SRI Artificial Intelligence Center, he is also a past president and Fellow of the American Association for Artificial Intelligence.

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