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Overview

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title: IE502014 Artificial Intelligence - Overview
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The following plan is tentative, based on last year's plan.
There will be changes, but the rough outline will remain.

| Session | Topic  | Reading | Keywords |
| :- | :- | :- | :- |
| 1 | [Introduction]() 12 January 2023  | 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 | | 20-24 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 | |
| 11 | [Reinforcement Learning 1]() | R&N Chapter 16 | |
| 11 | Markov Decision Processes [MDP]() | R&N Chapter 16 | |
| - | Easter | | 3-10 April - holiday |
| 12 | [Reinforcement Learning 2]() | R&N Chapter 23 | |
| 13 | [Reinforcement Learning 3]() | R&N Chapter 16/23 | |
| 12 | [Reinforcement Learning]() | R&N Chapter 23 | |
| 13 | [Tensorflow]() for Reinforcement Learning | R&N Chapter 16/23 | |
| 14 | [AI Ethics]() 27 April 2023| | Implementation of ethical constraints |

Considering

+ Limits of AI - a review of ChatGPT and github copilot
+ 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.