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IE502014 Artificial Intelligence - Overview
| Session | Topic | Reading | Keywords |
|---|---|---|---|
| 1 | Introduction | R&N Ch. 1 | What is intelligence? Is AI possible? |
| 2 | Rational Agents | R&N Ch. 2 | Instrumental reason, practical reason, etc. |
| 3 | Search | R&N Ch. 3.1-3.4 | Search and Problem Solving |
| 4 | Heuristic Search | R&N Ch. 3.5-3.7 | Heuristic Search |
| 5 | Complex Environments | R&N Ch. 4 | Local Search, Partional Information etc. |
| 6 | Adversarial Search | R&N Ch. 6 | Game Theory |
| - | Midterm | 21-25 February - own work | |
| 7 | Optimisation and GA | H&H Chapter 1-2 | Genetic Algoritms |
| 8 | GA | H&H Chapter 3-4 | Genetic Algoritms |
| 9 | Game Theory | Game Theory, Simulation, Genetic Algorithm | |
| 10 | Machine Learning and Statistics | ?? | |
| 11?? | ?? | R&N Chapter 16 | Eirik |
| 12?? | ?? | R&N Chapter 23 | Eirik |
| - | Easter | 11-18 April - holiday | |
| 13?? | ?? | ?? | Eirik |
| 14 | AI Ethics | Immplementation of ethical constraints |
Considering
- R&N Chapter 7: Logical Agents
- R&N Chapter 12: Acting under Uncertainty
