Artificial intelligence : a modern approach / Stuart J.Russell and Peter Norvig

Contents Include:

I Artificial Intelligence

1. Introduction
2. Intelligent Agents

II Problem Solving

3. Solving Problems by Searching
4. Search in Complex Environments
5. Constraint Satisfaction Problems
6. Adversarial Search and Games

III Knowledge, Reasoning and Planning

7. Logical Agents
8. First-Order Logic
9. Inference in First-Order Logic
10. Knowledge Representation
11. Automated Planning

IV Uncertain Knowledge and Reasoning

12. Quantifying Uncertainty
13. Probabilistic Reasoning
14. Probabilistic Reasoning over Time
15. Making Simple Decisions
16. Making Complex
17. Multiagent Decision Making
18. Probabilistic Programming

V Machine Learning

19. Learning from Examples
20. Knowledge in Learning
21. Learning Probabilistic Models
22. Deep Learning
23. Reinforcement Learning

VI Communicating, perceiving, and acting

24. Natural Language Processing
25. Deep Learning for Natural Language Processing
26. Robotics
27. Computer Vision

VII Conclusions

Includes bibliographical references and index.