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Artificial intelligence a modern approach

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In this third edition, the authors have updated the treatment of all major areas. A new organizing principle--the representational dimension of atomic, factored, and structured models--has been added. Significant new material has been provided in areas such as partially observable search, contingenc...

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Bibliographic Details
Main Author: Russell, Stuart J.
Other Authors: Norvig, Peter
Format: Book
Language:English
Published: Upper Saddle River, N.J. Pearson 2010
Edition:3rd ed.
Series:Prentice Hall series in artificial intelligence.
Subjects:
Artificial intelligence.
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Table of Contents:
  • Machine generated contents note: 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
  • œg 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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