Artificial intelligence : a modern approach

Abstract

Part I. Artificial inteligence -- 1. Introduction -- 2. Intelligent agents -- Part II. Problem-solving -- 3. Solving problem by searching -- 4. Beyond classical search -- 5. Adversarial search -- 6. Constraint satisfaction problem -- Part 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 -- Part IV. Uncertain knowledge and reasoning -- 13. Quantifying uncertainty -- 14. Probabilistic reasoning -- 15. Probabilistic reasoning over time -- 16. Making simple decisions -- 17. Making complex decisions -- Part V. Learning -- 18. Learning from examples -- 19. Knowledge in learning -- 20. Learning probabilistic models -- 21. Reinforcement learning -- Part VI. Communicating, perceiving and acting -- 22. Natural language for communication -- 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 algoritms.