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Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5/E
George F. Luger

ISBN-10: 0321263189
ISBN-13: 9780321263186

Publisher: Addison-Wesley
Copyright: 2005
Format: Cloth; 928 pp
Published: 09/30/2004

Much has changed since the early editions of Artificial Intelligence were published. To reflect this the introductory material of this fifth edition has been substantially revised and rewritten to capture the excitement of the latest developments in AI work.

Artificial intelligence is a diverse field. To ask the question "what is intelligence?" is to invite as many answers as there are approaches to the subject of artificial intelligence. These could be intelligent agents, logical reasoning, neural networks, expert systems, evolutionary computing and so on. This fifth edition covers all the main strategies used for creating computer systems that will behave in "intelligent" ways. It combines the broadest approach of any text in the marketplace with the practical information necessary to implement the strategies discussed, showing how to do this through Prolog or LISP programming.

A thorough and balanced treatment of the foundations of AI.
Contains a combination of theoretical foundations of intelligent problem solving with the data structures and algorithms needed for implementation.
Example programs written in LISP and PROLOG.
Puts practical applications of AI into context.
A unique discussion of the social and philosophical issues of AI.
Model-based reasoning and planning examples from the NASA space program. Comments on the AI endeavor from the perspectives of philosophy, psychology and neuro-physiology.

Major revision of the introductory material (chapters 1-9)
New chapter (5) introducing stochastic technology in AI
The role of stochastic approaches is integrated into other sections (including Language and Learning chapters)
Stochastic natural language processing, including finite state machines, dynamic programming, and the Viterbi algorithm, integrated into introductory chapters
Expanded stochastic approaches to reasoning in uncertain situations with Bayesian belief networks and Markov models
Update of Epilogue part on the future of AI

Part I: Artificial Intelligence: its Routes and Scope

1 AI: History and Applications

Part II: Artificial Intelligence as Representation and Search

2 The Predicate Calculus

3 Structures and Strategies for State Space Search

4 Heuristic Search

5 Stochastic Methods

6 Building Control Algorithms for State Space Search

Part III: Representation and Intelligence: The AI Challenge

7 Knowledge Representation

8 Strong Method Problem Solving

9 Reasoning in Uncertain Situations

Part IV: Machine Learning

10 Machine Learning: Symbol-Based

11 Machine Learning: Connectionist

12 Machine Learning: Social and Emergent

Part V: Advanced Topics for AI Problem Solving

13 Automated Reasoning

14 Understanding Natural Language

Part VI: Languages and Programming Techniques for Artificial Intelligence

15 An Introduction to PROLOG

16 An Introduction to LISP

Part VII: Epilogue

17 Artificial Intelligence as Empirical Enquiry

Bibliography

Author Index

Subject Index

Artificial Intelligence (AI) (Computer Science)

Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6/E
Luger
©2009 | Addison-Wesley | Cloth; 784 pp | Instock
ISBN-10: 0321545893 | ISBN-13: 9780321545893
Net price: $90.00 (What's this?)Brief Description

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. Students learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.

Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI.

Backcover Copy

[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, Mlardalen 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 todays computer scientists.

New to this edition

· Brand new chapter which introduces the stochastic methodology.

· 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.

Artificial Intelligence Companion Website: Structures and Strategies for Complex Problem Solving, 5/E
Luger
©2005 | Addison-Wesley | On-line Supplement; 4 pp | Instock
ISBN-10: 0273694170 | ISBN-13: 9780273694175

Artificial Intelligence Instructors Manual on the Web, 5/E
Luger
©2005 | Addison-Wesley | On-line Supplement; 102 pp | Instock
ISBN-10: 0273694227 | ISBN-13: 9780273694229
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Luger: Artificial Intelligence 5e PowerPoints on the Web, 5/E
Luger
©2005 | Addison-Wesley | On-line Supplement; 289 pp | Instock
ISBN-10: 0273704427 | ISBN-13: 9780273704423
View Downloadable Files

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