Topics

Topics
lk2
rn3
Web links
14 Jan W/1 Introductions, administrivia, Agents and environments
21 Jan W/2 Problems and problem spaces, Informed search 2.0-2.1, 3.0-3.2 3.1-3.4, 3.5.1
26 Jan M/3 Optimal search, Branch and bound, A* revisited, Admissibility and informedness 3.3-3.6 3.5
28 Jan W/3 Search, continued, Minimax revisited 3.7, 4.0-4.1 5.1-5.2
02 Feb M/4 Evaluating and improving heuristics, Real time/time constrained AI, Stochastic, partially observable games, Representing game states, actions 4.3-4.4 5.5-5.6
04 Feb W/4 Game day
09 Feb M/5 Alpha-beta pruning, Fuzzy logic 4.2, 8.0-8.3 5.3, 14.7.3
11 Feb W/5 Fuzzy logic continued
16 Feb M/6 Project 1 implementation design, Bayesian reasoning revisited 8.4 13.1-13.2
18 Feb W/6
23 Feb M/7 Decision trees, linear models, Entropy 10.4-10.5, 10.6-10.7 18.3-18.6
25 Feb W/7 Entropy and ID3 continued
02 Mar M/8 Theorem proving, Math proofs, Propositional logic, Predicate logic, Unification 5.0-5.2, 5.3-5.4 7.1-7.5, 9.2
04 Mar W/8
16 Mar M/10 Hidden Markov models, Noisy channel model 13.6, 13.9 15.1-15.3
18 Mar W/10 HMMs and noisy channel model continued
23 Mar M/11 Training and testing, Supervised learning, Evaluating models 10.0-10.3 18.1-18.2
25 Mar W/11 Genetic algorithms 12.2-12.3 4.1.4
30 Mar M/12 Genetic algorithms continued
01 Apr W/12 Neural networks, Perceptron models 11.0-11.4 18.7-18.7.2
06 Apr M/13 Multilayer neural networks, Backpropagation 11.5-11.6 18.7.3-18.7.5
08 Apr W/13 Ethics of AI classifiers, self-driving cars
13 Apr M/14 Backpropagation continued, Genetic-neural programming, Planning problems 14.0-14.2 10.1
15 Apr W/14 Planning as search 14.3 10.2
20 Apr M/15 Planning algorithms, Intelligent agents, Production systems 7.1-7.3, 7.4.2, 14.4 9.3, 10.3-10.5, 11.1
27 Apr M/16 Responsive agents, emergent systems
29 Apr W/16 Planning: monolithic systems vs emergent behaviour