Topics
| Topics | lk2 |
rn3 |
Web links | ||
|---|---|---|---|---|---|
| 11 Jan | T/1 | ||||
| 13 Jan | R/1 | Introductions, administrivia, Agents and environments | |||
| 18 Jan | T/2 | Problems and problem spaces, Informed search | 2.0-2.1, 3.0-3.2 | 3.1-3.4, 3.5.1 | |
| 20 Jan | R/2 | Branch and bound, A* revisited, Admissibility and informedness, Optimal search | 3.3-3.6 | 3.5 | |
| 25 Jan | T/3 | Search, continued | 3.7 | ||
| 27 Jan | R/3 | Minimax revisited | 4.0-4.1 | 5.1-5.2 | |
| 01 Feb | T/4 | Game day | |||
| 03 Feb | R/4 | Representing game states, actions, Evaluating and improving heuristics, Real time/time constrained AI, Stochastic, partially observable games | 4.3-4.4 | 5.5-5.6 | |
| 08 Feb | T/5 | Project 1 implementation design | |||
| 10 Feb | R/5 | Alpha-beta pruning, Fuzzy logic | 4.2, 8.0-8.3 | 5.3, 14.7.3 | |
| 15 Feb | T/6 | Fuzzy logic continued, Bayesian reasoning revisited | 8.4 | 13.1-13.2 | |
| 17 Feb | R/6 | Entropy, Decision trees, linear models | 10.4-10.5, 10.6-10.7 | 18.3-18.6 | |
| 22 Feb | T/7 | Entropy and ID3 continued | ID3 algorithm | ||
| 24 Feb | R/7 | ID3 cont'd | |||
| 01 Mar | T/8 | Theorem proving, Math proofs, Propositional logic, Predicate logic, Unification | 5.0-5.2, 5.3-5.4 | 7.1-7.5, 9.2 | |
| 15 Mar | T/10 | Noisy channel model, Hidden Markov models | 13.6, 13.9 | 15.1-15.3 | |
| 17 Mar | R/10 | HMMs and noisy channel model continued | |||
| 22 Mar | T/11 | Training and testing, Supervised learning, Evaluating models | 10.0-10.3 | 18.1-18.2 | How machines learn (CGP Grey); Precision and recall |
| 24 Mar | R/11 | Genetic algorithms | 12.2-12.3 | 4.1.4 | |
| 29 Mar | T/12 | Genetic algorithms continued | |||
| 31 Mar | R/12 | Neural networks, Perceptron models | 11.0-11.4 | 18.7-18.7.2 | |
| 05 Apr | T/13 | Multilayer neural networks, Backpropagation | 11.5-11.6 | 18.7.3-18.7.5 | |
| 07 Apr | R/13 | Ethics of AI classifiers, self-driving cars | |||
| 12 Apr | T/14 | Backpropagation continued | |||
| 14 Apr | R/14 | Genetic-neural programming, Planning problems, Planning as search | 14.0-14.2, 14.3 | 10.1, 10.2 | How machines *really* learn (CGP Grey) |
| 21 Apr | R/15 | Planning algorithms, Intelligent agents, Production systems | 7.1-7.3, 7.4.2, 14.4 | 9.3, 10.3-10.5, 11.1 | |
| 26 Apr | T/16 | Responsive agents, emergent systems | |||
| 28 Apr | R/16 | Planning: monolithic systems vs emergent behaviour |