Artificial Intelligence: Structures and Strategies for Complex Problem Solving (5th Edition) [Hardcover]

George F. Luger (Author)

Book Description

ISBN-10: 0321263189 | ISBN-13: 978-0321263186 | Publication Date: October 10, 2004 | Edition: 5

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.

Editorial Reviews

From the Back Cover

[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 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.

 

About the Author

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. --This text refers to an alternate Hardcover edition.

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Product Details

• Hardcover: 928 pages
• Publisher: Addison Wesley; 5 edition (October 10, 2004)
• Language: English
• ISBN-10: 0321263189
• ISBN-13: 978-0321263186
• Product Dimensions: 8.8 x 7.4 x 1.8 inches
• Shipping Weight: 3.7 pounds
• Average Customer Review: 4.2 out of 5 stars  See all reviews (9 customer reviews)
• Amazon Best Sellers Rank: #685,766 in Books (See Top 100 in Books)
  • #56 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Computer Mathematics

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Customer Reviews

Most Helpful Customer Reviews

18 of 21 people found the following review helpful:

5.0 out of 5 stars An excellent book for an intro to AI, January 17, 2001

By 

Todd Ebert (Long Beach California) - See all my reviews

This review is from: Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Hardcover)

This book is actually a follow up to Luger and Stubblefield's older book "AI and the Design of Expert Systems". Being somewhat dated in both title and content, this book serves as its resurrection. Both books are excellent in providing a basic introduction to AI. They contain a number of problems and provide just enough infromation on each topic to give the reader the general idea and a sense of having learned something substantial (this is always the danger when writing a book that surveys a variety of interrelated fields). Another strength of the book is its ability to make connections between the different areas of AI. For example, when discussing knowledge representation, they make sure to draw connections with it and logic as well as natural language processing.

13 of 15 people found the following review helpful:

4.0 out of 5 stars Good For Beginners in AI, December 4, 2002

By 

Gautam Renjen "ZOOMIN" (New Delhi, India) - See all my reviews
(REAL NAME)   

This review is from: Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition) (Hardcover)

This is a very good book for anyone wanting to get an insight. Good for the first college course in AI too. It introduces the different areas of AI quite well, and develops logic before doing that. Prolog and LISP are also introduced.

The only reason I wouldn't give this book 5 stars is because
1) The Prolog and LISP features aren't all that great. They could have done better than just explaining what they did.

2) There was very little or almost no depth in the material covered. I wanted to go on reading more about the advanced features, but that never happened. So, I had to go to the library and look for something there.

But a great book for a college course. I wouldn't recommend this for a Grad course in CS...A grad student should be knowing beyond what this book covers.

12 of 14 people found the following review helpful:

5.0 out of 5 stars This is a good book for the beginners., March 27, 2000

By 

Amit Konar - See all my reviews

This review is from: Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Hardcover)

The book presents many aspects like predicate logic, state space search,knowledge representation, natural language understanding, machine learning and specially programming in both LISP and PROLOG.I specially liked the chapters on learning, natural language understanding and the programming techniques.The book is unique for its presentation style, simplicity and illustrations. It must be on the desk of anyone interested to join the disciplines of AI.