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Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers, Ernest Davis ... [et al.].
Series: Prentice Hall series in artificial intelligencePublication details: Upper Saddle River, N.J. : Prentice Hall, c2010.Edition: 3rd edDescription: xviii, 1132 p. : ill. ; 26 cmContent type:- text
- unmediated
- volume
- 9780132071482 (pbk.)
- 0132071487 (pbk.)
- 9780136042594 (hbk.)
- 0136042597 (hbk.)
- Q335 .R86 2010
Contents:
I. Artificial Intelligence -- 1. Introduction -- 2. Intelligent Agents -- II. Problem-solving -- 3. Solving Problems by Searching -- 4. Beyond Classical Search -- 5. Adversarial Search -- 6. Constraint Satisfaction Problems -- III. Knowledge, reasoning, and planning -- 7. Logical Agents -- 8. First-Order Logic -- 9. Inference in First-Order Logic -- 10. Classical Planning -- 11. Planning and Acting in the Real World -- 12. Knowledge Representation -- IV. Uncertain knowledge and reasoning -- 13. Quantifying Uncertainty -- 14. Probabilistic Reasoning -- 15. Probabilistic Reasoning over Time -- 16. Making Simple Decisions -- 17. Making Complex Decisions -- V. Learning -- 18. Learning from Examples -- 19. Knowledge in Learning -- 20. Learning Probabilistic Models -- 21. Reinforcement Learning -- VI. Communicating, perceiving, and acting -- 22. Natural Language Processing -- 23. Natural Language for Communication -- 24. Perception -- 25. Robotics -- VII. Conclusions -- 26. Philosophical Foundations -- 27. AI: The Present and Future -- A. Mathematical background -- B. Notes on Languages and Algorithms.
| Item type | Current library | Home library | Shelving location | Call number | Materials specified | Status | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
|
American University in Dubai | American University in Dubai | Main Collection | Q 335 .R86 2010 (Browse shelf(Opens below)) | Copy Type:01 - Books | Available | 604414 |
Includes bibliographical references (p. 1063-1093) and index.
I. Artificial Intelligence -- 1. Introduction -- 2. Intelligent Agents -- II. Problem-solving -- 3. Solving Problems by Searching -- 4. Beyond Classical Search -- 5. Adversarial Search -- 6. Constraint Satisfaction Problems -- III. Knowledge, reasoning, and planning -- 7. Logical Agents -- 8. First-Order Logic -- 9. Inference in First-Order Logic -- 10. Classical Planning -- 11. Planning and Acting in the Real World -- 12. Knowledge Representation -- IV. Uncertain knowledge and reasoning -- 13. Quantifying Uncertainty -- 14. Probabilistic Reasoning -- 15. Probabilistic Reasoning over Time -- 16. Making Simple Decisions -- 17. Making Complex Decisions -- V. Learning -- 18. Learning from Examples -- 19. Knowledge in Learning -- 20. Learning Probabilistic Models -- 21. Reinforcement Learning -- VI. Communicating, perceiving, and acting -- 22. Natural Language Processing -- 23. Natural Language for Communication -- 24. Perception -- 25. Robotics -- VII. Conclusions -- 26. Philosophical Foundations -- 27. AI: The Present and Future -- A. Mathematical background -- B. Notes on Languages and Algorithms.
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