| Description |
xxiii, 903 pages : illustrations (some color) ; 24 cm |
| Contents |
Pt. I. Artificial intelligence : its roots and scope -- 1. AI : early 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. Building control algorithms for state space search -- Pt. III. Representation and intelligence : the AI challenge -- 7. Knowledge representation -- 8. Strong method problem solving -- 9. Reasoning in uncertain situations -- Pt. IV. Machine learning -- 10. Machine learning : symbol-based -- 11. Machine learning : connectionist -- 12. Machine learning : social and emergent -- Pt. V. Advanced topics for AI problem solving -- 13. Automated reasoning -- 14. Understanding natural language -- Pt. VI. Languages and programming techniques for artificial intelligence -- 15. An introduction to PROLOG -- 16. An introduction to LISP -- Pt. VII. Epilogue -- 17. Artificial intelligence as empirical enquiry |
| Summary |
"Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or two semester university course on AI, as well as an invaluable reference for researchers in the field or practitioners wishing to employ the power of current AI techniques in their work."--BOOK JACKET |
| Notes |
Previous ed.: Harlow : Pearson Education, 2002 |
|
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Artificial intelligence.
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Knowledge representation (Information theory)
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Problem solving.
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Prolog (Computer program language)
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LISP (Computer program language)
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| Genre/Form |
Lehrbuch
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| LC no. |
2004046227 |
| ISBN |
0321263189 : |
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