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Artificial Intelligence:Structures and Strategies for Complex Problem Solving: International Edition - Brossura

 
9780132090018: Artificial Intelligence:Structures and Strategies for Complex Problem Solving: International Edition

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Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today's computer scientists.

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L'autore

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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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.

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  • EditoreFinancial Times Prentice Hall
  • Data di pubblicazione2008
  • ISBN 10 0132090015
  • ISBN 13 9780132090018
  • RilegaturaCopertina flessibile
  • LinguaInglese
  • Numero edizione1
  • Numero di pagine784

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Altre edizioni note dello stesso titolo

9780805301397: Artificial Intelligence and the Design of Expert Systems

Edizione in evidenza

ISBN 10:  0805301399 ISBN 13:  9780805301397
Casa editrice: Benjamin-Cummings Publishing Com..., 1988
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Trade paperback. Condizione: New in new dust jacket. 6th, International edition. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. 784 p. Audience: Professional and scholarly. Codice articolo K519A0000725

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