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

By: Contributor(s): Material type: TextTextPublication details: New Delhi : Prentice Hall/Pearson Education, 2008Edition: 2nd edDescription: 1046 pISBN:
  • 9788177583670
Subject(s): DDC classification:
  • 006.3 21 R9611
Contents:
I. Artificial intelligence. 1. Introduction. 2. Intelligent agents. Ii. Problem-solving. 3. Solving problems by searching. 4. Informed search and exploration. 5. Constraint satisfaction problems. 6. Adversarial search. Iii. Knowledge and reasoning. 7. Logical agents. 8. First-order logic. 9. Inference in first-order logic. 10. Knowledge representation. Iv. Planning. 11. Planning. 12. Planning and acting in the read world. V. Uncertain knowledge and reasoning. 13. Uncertainty. 14. Probabilistic reasoning systems. 15. Probabilistic reasoning over time. 16. Making simple decisions. 17. Making complex decisions. Vi. Learning. 18. Learning from observations. 19. Knowledge in learning. 20. Statistical learning methods. 21. Reinforcement learning. Vii. Communicating, perceiving, and acting. 22. Agents that communicate. 23. Text processing in the large. 24. Perception. 25. Robotics. Viii. Conclusions. 26. Philosophical foundations. 27. Ai: present and future.
List(s) this item appears in: Computer
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Item type Current library Call number Status Date due Barcode
Books Books UE-Central Library 006.3 R9611 (Browse shelf(Opens below)) Available T2049

includes index

I. Artificial intelligence. 1. Introduction. 2. Intelligent agents. Ii. Problem-solving. 3. Solving problems by searching. 4. Informed search and exploration. 5. Constraint satisfaction problems. 6. Adversarial search. Iii. Knowledge and reasoning. 7. Logical agents. 8. First-order logic. 9. Inference in first-order logic. 10. Knowledge representation. Iv. Planning. 11. Planning. 12. Planning and acting in the read world. V. Uncertain knowledge and reasoning. 13. Uncertainty. 14. Probabilistic reasoning systems. 15. Probabilistic reasoning over time. 16. Making simple decisions. 17. Making complex decisions. Vi. Learning. 18. Learning from observations. 19. Knowledge in learning. 20. Statistical learning methods. 21. Reinforcement learning. Vii. Communicating, perceiving, and acting. 22. Agents that communicate. 23. Text processing in the large. 24. Perception. 25. Robotics. Viii. Conclusions. 26. Philosophical foundations. 27. Ai: present and future.

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