---
title: IE502014 Artificial Intelligence - Overview
---

The following plan is tentative, based on last year's plan.
There will be changes, but the rough outline will remain.

| Session | Topic  | Session Date | Reading | Keywords |
| :-      | :---   | :---   | :--- | :---   | :--- |
| 1 | [Introduction]() | 11 January 2024  | R&N Ch. 1 | What is intelligence?  Is AI possible? |
| 2 | [Rational Agents]() | 18 Janary 2024 | R&N Ch. 2 | Instrumental reason, practical reason, etc. |
| 3 | [Search]() | 25 Janary 2024 | R&N Ch. 3.1-3.4 | Search and Problem Solving|
| 4 | [Heuristic Search]() | 1 February 2024 | R&N Ch. 3.5-3.7 | Heuristic Search |
| 5 | [Complex Environments]() | 8 February 2024 | R&N Ch. 4 | Local Search, Partional Information etc. |
| 6 | [Adversarial Search]() | 15 February 2024 | R&N Ch. 6 | Game Theory |
| - | Midterm   | 19-24 February | own work |
| 7 | [Optimisation and GA]() | | H&H Chapter 1-2 | Genetic Algoritms|
| 8 | [Machine Learning and Statistics](ML)|  | R&N Chapter 19 | |
| 9 | Markov Decision Processes [MDP]()|  | R&N Chapter 16 | |
| 10 | ??? |
| (8/2023) | [Continuous GA]()|  | H&H Chapter 3-4 | Genetic Algoritms|
| (9/2023) | [Game Theory]()|  | | Game Theory, Simulation, Genetic Algorithm |
| - | Easter | 25 March - 1 April | holiday |
| 11 | ??? |
| 12 | [Reinforcement Learning]()|  | R&N Chapter 23 | |
| 13 | [Deep Q-Learning]()  for Reinforcement Learning | | R&N Chapter 16/23 | |
| 14 | [AI Ethics]()|  25 April 2024| | 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
    - State Machines and Graph Algorithms
    - Markov Decision Processes and Reinforcement Learning
3.  Optimisation and Evolutionary Algorithms

*Note*  There are other modules on machine learning, so this 
remains out of scope.