Provides a thorough discussion of AI's theoretical foundations and advanced applications, including expert system design and knowledge-based programming. It is a wealth of advanced AI topics and applications that should appeal to a broad audience.
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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:
"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.
George Luger is currently a Professor of Computer Science, Linguistics, and Psychology at the University of New Mexico. He received his PhD from the University of Pennsylvania and spent five years researching and teaching at the Department of Artificial Intelligence at the University of Edinburgh.
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