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Artificial Intelligence

NPTEL and Indian Institute of Technology Madras via YouTube


Artificial Intelligence: Introduction.
Introduction to AI.
AI Introduction: Philosophy.
AI Introduction.
Introduction: Philosophy.
State Space Search - Introduction.
Search - DFS and BFS.
Search DFID.
Heuristic Search.
Hill climbing.
Solution Space Search,Beam Search.
TSP Greedy Methods.
Tabu Search.
Optimization - I (Simulated Annealing).
Optimization II (Genetic Algorithms).
Population based methods for Optimization.
Population Based Methods II.
Branch and Bound, Dijkstra's Algorithm.
A* Algorithm.
Admissibility of A*.
A* Monotone Property, Iterative Deeping A*.
Recursive Best First Search, Sequence Allignment.
Pruning the Open and Closed lists.
Problem Decomposition with Goal Trees.
AO* Algorithm.
Game Playing.
Game Playing- Minimax Search.
Game Playing - AlphaBeta.
Game Playing-SSS *.
Rule Based Systems.
Inference Engines.
Rete Algorithm.
Planning FSSP, BSSP.
Goal Stack Planning Sussman's Anomaly.
Non-linear planning.
Plan Space Planning.
Mod-01 Lec-39 Constraint Satisfaction Problems.
Mod-01 Lec-40 CSP Continued.
Mod-01 Lec-41 Knowlege Based Systems.
Mod-01 Lec-42 Knowledge Based Systems PL.
Mod-01 Lec-43 Propositional Logic.
Mod-01 Lec- 44 Resolution Refutation for PL.
Mod-01 Lec-45 First Order Logic (FOL).
Mod-01 Lec-46 Reasoning in FOL.
Mod-01 Lec-47 Backward Chaining.
Mod-01 Lec-48 Resolution for FOL.

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