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

By: Contributor(s): Material type: TextTextSeries: 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): DDC classification:
  • 006.3 22
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.
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Kwara State University Library Q 335 .R87 2010 (Browse shelf(Opens below)) Available 008659-01
Books Books Kwara State University Library Q 335 .R87 2010 (Browse shelf(Opens below)) Available 008659-02

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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