Artificial intelligence : structures and strategies for complex problem solving / George F. Luger.

Format:

Book

Author/Creator:

Luger, George F.

Contributor:

Hazel M. Hussong Fund.

Language:

English

Subjects (All):

Artificial intelligence.

Knowledge representation (Information theory).

Problem solving.

Prolog (Computer program language).

LISP (Computer program language).

Physical Description:

xxii, 903 pages : illustrations ; 22cm

Edition:

Fifth edition.

Place of Publication:

New York : Addison-Wesley, 2005.

Summary:

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.

Contents:

Part I Artificial Intelligence: Its Roots and Scope 1

1 AI: Early History and Applications 3

Part II Artificial Intelligence as Representation and Search 35

2 The Predicate Calculus 45

3 Structures and Strategies for State Space Search 79

4 Heuristic Search 123

5 Stochastic Methods 165

6 Building Control Algorithms for State Space Search 193

Part III Representation and Intelligence: The AI Challenge 223

7 Knowledge Representation 227

8 Strong Method Problem Solving 277

9 Reasoning in Uncertain Situations 333

Part IV Machine Learning 385

10 Machine Learning: Symbol-Based 387

11 Machine Learning: Connectionist 453

12 Machine Learning: Social and Emergent 507

Part V Advanced Topics for AI Problem Solving 545

13 Automated Reasoning 547

14 Understanding Natural Language 591

Part VI Languages and Programming Techniques for Artificial Intelligence 635

15 An Introduction to Prolog 641

16 An Introduction to Lisp 723

17 Artificial Intelligence as Empirical Enquiry 823.

Notes:

Includes bibliographical references and indexes.

Local Notes:

Acquired for the Penn Libraries with assistance from the Hazel M. Hussong Fund.

ISBN:

0321263189

OCLC:

56660434