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title: IE502014 Artificial Intelligence - Overview
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| 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 | [Continuous GA]() | H&H Chapter 3-4 | Genetic Algoritms|
| 9 | [Game Theory]() | | Game Theory, Simulation, Genetic Algorithm |
| 10 | [Machine Learning and Statistics](ML) | R&N Chapter 19 | |
| 10 | [Machine Learning and Statistics](ML) | ?? | |
| 11 | [Reinforcement Learning 1]() | R&N Chapter 16 | Eirik |
| 12 | [Reinforcement Learning 2]() | R&N Chapter 23 | Eirik |
| - | Easter | | 11-18 April - holiday |
| 13 | Reinforcement Learning cont'ed | R&N Chapter 16/23 | Eirik |
| 13 | [Reinforcement Learning 3]() | R&N Chapter 16/23 | Eirik |
| 14 | [AI Ethics]() | | Immplementation of ethical constraints |
Considering
+ R&N Chapter 7: Logical Agents
+ R&N Chapter 12: Acting under Uncertainty
# Key topics
1. Ethics.
1. What is intelligence?
- what is artificial intelligence?
- is artificial intelligence at all possible?
2. Concerns about AI
3. Machine Morality
2. Intelligence Agents
- Search and Optimisation
3. Evolutionary Algorithms
*Note* There are other modules on machine learning, so this
remains out of scope.