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

By: Material type: TextTextPublication details: Harlow, Essex, England : Addision-Wesley Publishing Company, c2003Edition: Fourth edition | Lower Price editionDescription: xxiii, 880 pages : illustrations ; 24 cmISBN:
  • 201648660
Subject(s): LOC classification:
  • Q 335 .L84 2003
Contents:
pt. I. Artificial intelligence : its roots and scope -- 1. AI : history and applications -- pt. 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. Control and implementation of state space search -- pt. III. Capturing intelligence : the AI challenge -- 7. Knowledge representation -- 8. Strong method problem solving -- 9. Reasoning in uncertain situations -- pt. IV. Machine iearning -- 10. Machine learning : symbol-based -- 11. Machine learning : connectionist -- 12. Machine learning : genetic and emergent -- 13. Machine learning : probabilistic -- pt. V. Advanced topics for AI problem solving -- 14. Automated reasoning -- 15. Understanding natural language -- pt. VI. Epilogue -- 16. Artificial intelligence as empirical enquiry.
Summary: Textbook in artificial intelligence, touching on several levels of structures and strategies for complex problem solving. Shows how to use the numerous software tools and techniques for problem solution. For computer scientists. Previous edition not cited.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Computer Science GC Q 335 .L84 2003 (Browse shelf(Opens below)) c.1 Available NULIB000002322

Previous edition: published as by George Luger, William A. Stubblefield. Redwood City, Calif.; Wokingham, Benjamin/Cummings, 1997.

Includes bibliographical references and index.

pt. I. Artificial intelligence : its roots and scope -- 1. AI : history and applications -- pt. 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. Control and implementation of state space search -- pt. III. Capturing intelligence : the AI challenge -- 7. Knowledge representation -- 8. Strong method problem solving -- 9. Reasoning in uncertain situations -- pt. IV. Machine iearning -- 10. Machine learning : symbol-based -- 11. Machine learning : connectionist -- 12. Machine learning : genetic and emergent -- 13. Machine learning : probabilistic -- pt. V. Advanced topics for AI problem solving -- 14. Automated reasoning -- 15. Understanding natural language -- pt. VI. Epilogue -- 16. Artificial intelligence as empirical enquiry.

Textbook in artificial intelligence, touching on several levels of structures and strategies for complex problem solving. Shows how to use the numerous software tools and techniques for problem solution. For computer scientists. Previous edition not cited.

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