Artificial intelligence : a modern approach /
| מחבר ראשי: | |
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| מחברים אחרים: | |
| פורמט: | ספר |
| שפה: | English |
| יצא לאור: |
Upper Saddle River, N.J. :
Prentice Hall,
c2010.
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| מהדורה: | Third edition |
| סדרה: | Prentice Hall series in artificial intelligence.
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| נושאים: | |
| Classic Catalogue: | View this record in Classic Catalogue |
תוכן הענינים:
- 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.