| Description |
xxiii, 856 pages : illustrations ; 25 cm |
| 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. Control and Implementation of State Space Search -- Pt. III. Representation and Intelligence: The AI Challenge. 6. Knowledge Representation. 7. Strong Method Problem Solving. 8. Reasoning in Uncertain Situations -- Pt. IV. Machine Learning. 9. Machine Learning: Symbol-Based. 10. Machine Learning: Connectionist. 11. Machine Learning: Social and Emergent -- Pt. V. Advanced Topics for AI Problem Solving. 12. Automated Reasoning. 13. Understanding Natural Language -- Pt. VI. Languages and Programming Techniques for Artificial Intelligence. 14. An Introduction to PROLOG. 15. An Introduction to LISP -- Pt. VII. Epilogue. 16. Artificial Intelligence as Empirical Enquiry |
| Notes |
Previous ed.: published as by George Luger, William A. Stubblefield. Redwood City, Calif.; Wokingham, Benjamin/Cummings, 1997 |
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Includes index |
| Bibliography |
Includes bibliographical references (pages 809-835) and indexes |
| Subject |
Artificial intelligence -- Mathematics.
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Prolog (Computer program language)
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Artificial intelligence.
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Knowledge representation (Information theory)
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Problem solving.
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LISP (Computer program language)
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| LC no. |
2001032715 |
| ISBN |
0201648660 |
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