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Description
- 1. Introduction
- 2. Intelligent Agents
- 3. Solving Problems by Searching
- 4. Search in Complex Environments
- 5. Adversarial Search and Games
- 6. Constraint Satisfaction Problems
- 7. Logical Agents
- 8. First-Order Logic
- 9. Inference in First-Order Logic
- 10. Knowledge Representation
- 11. Automated Planning
- 12. Quantifying Uncertainty
- 13. Probabilistic Reasoning
- 14. Probabilistic Reasoning over Time
- 15. Probabilistic Programming
- 16. Making Simple Decisions
- 17. Making Complex Decisions
- 18. Multiagent Decision Making
- 19. Learning from Examples
- 20. Learning Probabilistic Models
- 21. Deep Learning
- 22. Reinforcement Learning
- 23. Natural Language Processing
- 24. Deep Learning for Natural Language Processing
- 25. Robotics
- 26. Philosophy and Ethics of AI
- 27. The Future of AI
About the Author
Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor and former chair of computer science, director of the Center for Human-Compatible AI, and holder of the Smith–Zadeh Chair in Engineering.
Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services.
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