Artificial Intelligence Video Lectures

Artificial Intelligence
'Artificial Intelligence' Video Lectures by Prof. Deepak Khemani from IIT Madras
"Artificial Intelligence" - Video Lectures
1. 1. Artificial Intelligence: Introduction
2. 2. Introduction to AI
3. 3. AI Introduction: Philosophy
4. 4. AI Introduction
5. 5. Introduction: Philosophy
6. 6. State Space Search - Introduction
7. 7. Search - DFS and BFS
8. 8. Search DFID
9. 9. Heuristic Search
10. 10. Hill climbing
11. 11. Solution Space Search,Beam Search
12. 12. TSP Greedy Methods
13. 13. Tabu Search
14. 14. Optimization - I (Simulated Annealing)
15. 15. Optimization II (Genetic Algorithms)
16. 16. Population based methods for Optimization
17. 17. Population Based Methods II
18. 18. Branch and Bound, Dijkstra's Algorithm
19. 19. A* Algorithm
20. 20. Admissibility of A*
21. 21. A* Monotone Property, Iterative Deeping A*
22. 22. Recursive Best First Search, Sequence Allignment
23. 23. Pruning the Open and Closed lists
24. 24. Problem Decomposition with Goal Trees
25. 25. AO* Algorithm
26. 26. Game Playing
27. 27. Game Playing- Minimax Search
28. 28. Game Playing - AlphaBeta
29. 29. Game Playing-SSS *
30. 30. Rule Based Systems
31. 31. Inference Engines
32. 32. Rete Algorithm
33. 33. Planning
34. 34. Planning FSSP, BSSP
35. 35. Goal Stack Planning. Sussman's Anomaly
36. 36. Non-linear planning
37. 37. Plan Space Planning
38. 38. GraphPlan
39. 39. Constraint Satisfaction Problems
40. 40. CSP continued
41. 41. Knowledge-based systems
42. 42. Knowledge-based Systems, PL
43. 43. Propositional Logic
44. 44. Resolution Refutation for PL
45. 45. First-order Logic (FOL)
46. 46. Reasoning in FOL
47. 47. Backward chaining
48. 48. Resolution for FOL
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