ARTIFICIAL INTELLIGENCE AND THE DESIGN OF EXPERT SYSTEMS
Luger, George F. & William A. Stubblefield
Language: English
Published by Benjamin-Cummings Publishing Company, Subs of Addison Wesley Longman, Inc, Redwood City, CA, 1989
- First Edition
- Hardcover
- Used
Seller: Rare Book Cellar, Pomona, NY, U.S.A.Rare Book Cellar
AbeBooks seller since November 24, 2001
Condition: Used
£ 54.83
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Add to basketItem description from seller
Seller Inventory # 48049
- Title
- ARTIFICIAL INTELLIGENCE AND THE DESIGN OF EXPERT SYSTEMS
- Author
- Luger, George F. & William A. Stubblefield
- Publisher
- Benjamin-Cummings Publishing Company, Subs of Addison Wesley Longman, Inc, Redwood City, CA
- Publication year
- 1989
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0805301399
- ISBN 13
- 9780805301397
- Edition
- First Edition; First Printing.
- Seller catalogs
- Art, Architecture and Photography
"Synopsis" may belong to another edition of this title.
From the Back Cover
Artificial Intelligence
Structures and Strategies for Complex Problem Solving, Sixth Edition
by George F Luger
This accessible, comprehensive book captures the essence of artificial intelligence -- solving the complex problems that arise wherever computer technology is applied. With his signature enthusiasm, George Luger demonstrates numerous techniques and strategies for addressing the many challenges facing computer scientists today. Diverse topics on this exciting and ever-evolving field range from perception and adaptation using neural networks and genetic algorithms, intelligent agents with ontologies, automated reasoning, natural language analysis, and stochastic approaches to machine learning.
This book is ideal for a one - or two-semester university course on AI.
New to this edition:
- A new chapter on stochastic approaches to machine learning, including first-prder Bayesian networks, variants of hidden Markov models, inference with Markov random fields and loopy belief propagation.
- Presentation of parameter fitting with expectation maximization learning and structure learning using Markov chain Monte Carlo sampling. Use of Markov decision processes in reinforcement learning.
- Presentation of agent technology and the use of ontologies.
- Natural language processing with dynamic programming (the Earley parser) and other probabilistic parsing techniques including Viterbi.
- A new supplemental programming book is available: AI Algorithms in Prolog, Lisp, and Java™. Available online and in print, this book demonstrates these languages as tools for building many of the algorithms presented throughout Luger's AI book.
"There are many ideas in this area that students often find difficult; the clarity and precision of Luger's exposition is informed by sharp, incisive examples with straightforward graphical components."
-- Joseph Lewis, San Diego State University
"The book is a perfect complement to an AI course. It gives readers both an historical point of view and a practical guide to all the techniques. It is THE book I would recommend as an introduction to this field."
-- Pascal Rebreyend, Dalarna University
"The style of writing and comprehensive treatment of the subject matter makes this a valuable addition to the AI literature."
-- Malachy Eaton, University of Limerick
George Luger is currently a Professor of Computer Science, Linguistics, and Psychology at the University of New Mexico. He received his Ph.D. from the University of Pennsylvania and spent five years researching and teaching at the Department of Artificial Intelligence at the University of Edinburgh.
"About the title" may belong to another edition of this title.
Rare Book Cellar
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AbeBooks seller since November 24, 2001
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