Artificial intelligence : structures and strategies for complex problem solving / George F. Luger
Material type:
TextPublication details: Harlow : Addison-Wesley, c2003Edition: Fourth edition; Lower Price editionDescription: xxiii, 880 pages : illustrations ; 24 cmISBN: 978-0201648669Subject(s): ARTIFICIAL INTELLIGENCE | ARTIFICIAL INTELLIGENCE -- MATHEMATICS | KNOWLEDGE REPRESENTATION (INFORMATION THEORY) | PROBLEM SOLVING | PROLOG (COMPUTER PROGRAM LANGUAGE)LOC classification: Q 335 .L84 2003
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LRC - Main | National University - Manila | Computer Science | General Circulation | GC Q 335 .L84 2003 (Browse shelf (Opens below)) | c.1 | Available | NULIB000002322 |
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| GC QP 360.7 .G64 2015 Human brain computer interface (H-BCI) / | GC Q 295 .E88 2015 A first course in network theory / | GC Q 335 .H6 2016 Principles of noology : toward a theory and science of intelligence / | GC Q 335 .L84 2003 Artificial intelligence : structures and strategies for complex problem solving / | GC Q 335 .N55 2010 The quest for artificial intelligence : a history of ideas and achievements / | GC Q 335 .R87 1995 Artificial intelligence: A modern approach / | GC Q 335 .R87 2010 Artificial intelligence : a modern approach / |
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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