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 | 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
- Ethics.
- What is intelligence?
- what is artificial intelligence?
- is artificial intelligence at all possible?
- Concerns about AI
- Machine Morality
- What is intelligence?
- Intelligence Agents
- State Machines and Graph Algorithms
- Markov Decision Processes and Reinforcement Learning
- Optimisation and Evolutionary Algorithms
Note There are other modules on machine learning, so this remains out of scope.