Artificial Intelligence: Structures and Strategies for Complex Problem Solving [Hardcover]

George F. Luger (Author), William A. Stubblefield (Author)

Book Description

Publication Date: September 1997

Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG. The practical applications of AI have been kept within the context of its broader goal: understanding the patterns of intelligence as it operates in this world of uncertainty, complexity and change. The introductory and concluding chapters take a new look at the potentials and challenges facing artificial intelligence and cognitive science.An extended treatment of knowledge-based problem-solving is given including model-based and case-based reasoning. Includes new material on:Fundamentals of search, inference and knowledge representatioAI algorithms and data structures in LISP and PROLOProduction systems, blackboards, and meta-interpreters including planers, rule-based reasoners, and inheritance systemsMachine-learning including ID3 with bagging and boosting, explanation based learning, PAC learning, and other forms of inductioNeural networks, including perceptrons, back propogation, Kohonen networks, Hopfield networks, Grossberg learning, and counterpropagationEmergent and social methods of learning and adaptation, including genetic algorithms, genetic programming and artificial lifeObject and agent-based problem solving and other forms of advanced knowledge representation

Editorial Reviews

From the Back Cover

0805311963B04062001

About the Author

George Luger is currently a Professor of Computer Science and Psychology at the University of New Mexico. His research interests include modeling human intelligence and building intelligent control systems. He received his PhD at the University of Pennsylvania and has worked as a research fellow at the University of Edinburgh.

William Stubblefield is currently a Senior Member of Technical Staff at Sandia National Laboratories. His research interests include intelligent manufacturing systems, human-computer interaction, and computational models of metaphor and analogy. He received his PhD at the University of New Mexico and has worked as a visiting professor at Dartmouth College.

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Product Details

• Hardcover: 868 pages
• Publisher: Benjamin-Cummings Pub Co; 3rd edition (September 1997)
• Language: English
• ISBN-10: 0805311963
• ISBN-13: 978-0805311969
• Product Dimensions: 9.6 x 7.6 x 1.7 inches
• Shipping Weight: 3.2 pounds
• Average Customer Review: 4.2 out of 5 stars  See all reviews (9 customer reviews)
• Amazon Best Sellers Rank: #2,608,275 in Books (See Top 100 in Books)

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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.