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Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers, Ernest Davis ... [et al.].

By: Contributor(s): Series: Prentice Hall series in artificial intelligencePublication details: Upper Saddle River, N.J. : Prentice Hall, c2010.Edition: 3rd edDescription: xviii, 1132 p. : ill. ; 26 cmISBN:
  • 9780132071482 (pbk.)
  • 0132071487 (pbk.)
  • 9780136042594 (hbk.)
  • 0136042597 (hbk.)
Subject(s): LOC classification:
  • 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.
Holdings
Item type Current library Home library Shelving location Call number Status Date due Barcode
Books Books American University in Dubai American University in Dubai Main Collection Q 335 .R86 2010 (Browse shelf(Opens below)) 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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