Artificial Intelligence : A Modern Approach
Instructor: Vincent Conitzer
Author : Stuart Russell
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| Topic | Materials |
| Introduction. | Chapter 1. Introduction slides: ppt, pdf. |
| Search. Constraint satisfaction and optimization problems. | Chapters 3, 4, 5. Search slides: ppt, pdf. More search slides: ppt, pdf. |
| Game playing. | Chapter 6. Slides: ppt, pdf. |
| Logic. | Chapters 7, 8, 9. Propositional logic slides: ppt, pdf. First-order logic slides: ppt, pdf. |
| Planning. | Planning slides: ppt, pdf. Chapter 11. |
| Probabilistic reasoning. | Chapters 13-17. Probability slides: ppt, pdf. Bayes nets slides: ppt, pdf. Markov processes and HMMs slides: ppt, pdf. |
| Decision theory. Markov decision processes, POMDPs. Game theory. | Chapters 18, 19, 20. Decision theory slides: ppt, pdf. MDP/POMDP slides: ppt, pdf. Game theory slides: ppt, pdf. |
| Machine learning. | Machine learning slides: ppt, pdf. |
| Wrapping up. | Wrapping up slides: ppt, pdf. |
