Lectures in this course:28
1 - Introduction to Artificial Intelligence (59:46)
2 - Problem Solving by Search (59:52)
3 - Searching with Costs (59:55)
4 - Informed State Space Search (59:55)
5 - Heuristic Search: A* and Beyond (59:56)
6 - Problem Reduction Search: AND/OR Graphs (59:52)
7 - Searching Game Trees (59:55)
8 - Knowledge Based Systems: Logic and Deduction (59:55)
9 - First Order Logic (59:50)
10 - Inference in First Order Logic (59:55)
11 - Resolution - Refutation Proofs (59:56)
12 - Resolution Refutation Proofs (01:00:00)
13 - Logic Programming : Prolog (59:50)
14 - Prolog Programming (59:44)
15 - Prolog: Exercising Control (59:48)
16 - Additional Topics (59:53)
17 - Introduction to Planning (59:54)
18 - Partial Order Planning (59:58)
19 - GraphPLAN and SATPlan (59:56)
20 - SATPlan (59:56)
21 - Reasoning under uncertainty (59:47)
22 - Bayesian Networks (59:54)
23 - Reasoning with Bayes Networks (59:56)
24 - Reasoning with Bayes networks (Contd.) (59:50)
25 - Reasoning under uncertainty: Issues (59:55)
26 - Learning : Decision Trees (59:54)
27 - Learning : Neural Networks (59:48)
28 - Back Propagation Learning (59:50)

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