Topics

Topics
textbook
Web links
14 Jan T/1 Introductions, administrivia, Agents and environments
16 Jan R/1 Problems and problem spaces, Informed search 2.0-2.1, 3.0-3.2
21 Jan T/2 Optimal search, Branch and bound, A* revisited, Admissibility and informedness 3.3-3.6
23 Jan R/2 Search, continued 3.7
28 Jan T/3 Minimax revisited, Alpha-beta pruning 4.0-4.2
30 Jan R/3 Game day
04 Feb T/4 Representing game states, actions, Evaluating and improving heuristics, Real time/time constrained AI, Stochastic, partially observable games 4.3-4.4
06 Feb R/4 Project 1 implementation design
11 Feb T/5 Propositional logic, Theorem proving, Math proofs 5.0-5.2
13 Feb R/5 Predicate logic, Unification 5.3-5.4
18 Feb T/6 Fuzzy logic 8.0-8.3
20 Feb R/6 Fuzzy logic continued
25 Feb T/7 Bayesian reasoning revisited, Knowledge representation 8.4, 6.0-6.1, 6.7-6.12
27 Feb R/7 Production systems, Intelligent agents
10 Mar T/9 Training and testing, Evaluating models, Supervised learning 10.0-10.3
12 Mar R/9 Neural networks, Perceptron models 11.0-11.4
17 Mar T/10 Multilayer neural networks, Backpropagation 11.5-11.6
19 Mar R/10 Backpropagation continued, Hopfield and other NNs 11.7
24 Mar T/11 Genetic algorithms 12.2-12.3
26 Mar R/11 Genetic algorithms continued
31 Mar T/12 Decision trees, linear models, Entropy 10.4-10.5, 10.6-10.7
02 Apr R/12 Entropy and ID3 continued
07 Apr T/13 Hidden Markov models, Noisy channel model 13.6, 13.9
09 Apr R/13 HMMs and noisy channel model continued
14 Apr T/14 Planning problems 14.0-14.2
16 Apr R/14 Planning as search 14.3
21 Apr T/15 Planning algorithms 14.4
23 Apr R/15 Responsive agents, emergent systems
28 Apr T/16 Planning: monolithic systems vs emergent behaviour