Artificial Intelligence

By
Dasgupta, P.
(2008)

28 Lectures in this course: 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)

Published by:

National Programme on Technology Enhanced Learning (NPTEL)

Collections: