Artificial Intelligence: Structures and Strategies for Complex Problem Solving

Artificial Intelligence: Structures and Strategies for Complex Problem Solving

by George F. Luger
     
 

Already in its fifth edition, thanks to artificial intelligence (AI) being one of the most volatile fields in computer science, this text is designed for the classroom as well as a reference tool. Luger (computer science, linguistics, and technology, U. of New Mexico) describes the aspects of AI, including representation and search (including the predicate calculus,… See more details below

Overview

Already in its fifth edition, thanks to artificial intelligence (AI) being one of the most volatile fields in computer science, this text is designed for the classroom as well as a reference tool. Luger (computer science, linguistics, and technology, U. of New Mexico) describes the aspects of AI, including representation and search (including the predicate calculus, and heuristic and stochastic search methods), representation and intelligence (including knowledge-intensive and strong methods), machine learning (symbol- based, connectionist, social and emergent), problem solving (automated reasoning and natural language), language and programming techniques, and a closing essay on AI as empirical inquiry. Luger includes exercises and references for each chapter. Annotation ©2004 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9780132090018
Publisher:
Pearson Education
Publication date:
08/28/2008

Meet 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.

Table of Contents

Pt. IArtificial intelligence : its roots and scope1
1AI : early history and applications3
Pt. 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
Pt. IIIRepresentation and intelligence : the AI challenge223
7Knowledge representation227
8Strong method problem solving277
9Reasoning in uncertain situations333
Pt. IVMachine learning385
10Machine learning : symbol-based387
11Machine learning : connectionist453
12Machine learning : social and emergent507
Pt. VAdvanced topics for AI problem solving545
13Automated reasoning547
14Understanding natural language591
Pt. VILanguages and programming techniques for artificial intelligence635
15An introduction to PROLOG641
16An introduction to LISP723
Pt. VIIEpilogue821
17Artificial intelligence as empirical enquiry823

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