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Artificial Intelligence: Structures and Strategies for Complex Problem Solving / Edition 5
     

Artificial Intelligence: Structures and Strategies for Complex Problem Solving / Edition 5

by George F. Luger
 

ISBN-10: 0321263189

ISBN-13: 9780321263186

Pub. Date: 09/30/2004

Publisher: Addison Wesley

[Shelving Category: Artificial Intelligence]

"One of the few books on the market that covers all the topics I have included in my course for the past 10 years." Bruce Maxim, University of Michigan ¿ Dearborn

"The book is a perfect complement to an AI course. It gives the reader both an historical point of view and a practical guide to all

Overview

[Shelving Category: Artificial Intelligence]

"One of the few books on the market that covers all the topics I have included in my course for the past 10 years." Bruce Maxim, University of Michigan ¿ Dearborn

"The book is a perfect complement to an AI course. It gives the reader both an historical point of view and a practical guide to all the techniques. It is THE book I recommend as an introduction to this field." Pascal Rebreyend, Dalarna University

"Excellent additions and improvements. I will use the 5th edition in my introduction and advanced AI courses." Peter Funk, M¿lardalen 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

Can machines think like people? This question is the driving force behind Artificial Intelligence, but it is only the starting point of this ever-evolving, exciting discipline. AI uses different strategies to solve the complex problems that arise wherever computer technology is applied, from those areas pertaining to perception and adaptation (neural networks, genetic algorithms) to the fields of intelligent agents, natural language understanding and stochastic models.

George Luger examines complex problem solving techniques while demonstrating his enthusiasm and excitement for the study of intelligence itself. He shows how to use a number of different software tools and techniques to address the many challenges faced by today¿s computer scientists.

New to this edition

· Brand new chapter which introduces the stochasticmethodology.

· Extended material in many sections addresses the continuing importance of agent-based problem solving and embodiment in AI technology.

· Presentation of issues in natural language understanding, including sections on stochastic methods for language comprehension; Markov models; CART trees; mutual information clustering; and statistic based parsing.

· Further discussion of the AI endeavor from the perspectives of philosophy, psychology, and neuro-psychology.

Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the field or practitioners wishing to employ the power of current AI techniques in their work.

After receiving his PhD from the University of Pennsylvania,George Lugerspent five years researching and teaching at the Department of Artificial Intelligence of the University of Edinburgh. He is currently a Professor of Computer Science, Linguistics, and Psychology at the University of New Mexico.

Product Details

ISBN-13:
9780321263186
Publisher:
Addison Wesley
Publication date:
09/30/2004
Edition description:
Older Edition
Pages:
928
Product dimensions:
7.46(w) x 9.36(h) x 1.82(d)

Table of Contents

Prefacevii
Publisher's Acknowledgementsxvi
Part IArtificial Intelligence: Its Roots and Scope1
1AI: Early History and Applications3
Part IIArtificial Intelligence as Representation and Search35
2The Predicate Calculus45
3Structures and Strategies for State Space Search79
4Heuristic Search123
5Stochastic Methods165
6Building Control Algorithms for State Space Search193
Part IIIRepresentation and Intelligence: The AI Challenge223
7Knowledge Representation227
8Strong Method Problem Solving277
9Reasoning in Uncertain Situations333
Part IVMachine Learning385
10Machine Learning: Symbol-Based387
11Machine Learning: Connectionist453
12Machine Learning: Social and Emergent507
Part VAdvanced Topics for AI Problem Solving545
13Automated Reasoning547
14Understanding Natural Language591
Part VILanguages and Programming Techniques for Artificial Intelligence635
15An Introduction to Prolog641
16An Introduction to Lisp723
Part VIIEpilogue821
17Artificial Intelligence as Empirical Enquiry823
Bibliography855
Author Index883
Subject Index891

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