Artificial Intelligence by Deepak Khemani (IIT Madras)

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source: nptelhrd    2014年5月5日
Computer Science - Artificial Intelligence by Prof. Deepak Khemani, Department of Computer Science and Engineering, IIT Madras. For more details on NPTEL visit http://nptel.ac.in

01 Artificial Intelligence: Introduction 56:03
02 Introduction to AI 51:55
03 AI Introduction Philosophy 44:12
04 AI Introduction 53:19
05 Introduction Philosophy 35:12
06 State Space Search Intro 54:03
07 Search-DFS and BFS 54:11
08 Search DFID 51:10
09 Heuristic Search 55:49
10 Hill Climbing 44:28
11 Solution Space Search,Beam Search 42:40
12 TSP Greedy Methods 52:26
13 Tabu Search 38:18
14 Optimization I (Simulated Annealing) 48:14
15 Optimization II (Genetic Algorithms) 53:39
16 Population Based Methods for Optimization 51:07
17 Population Based Methods II 58:25
18 Branch and Bound,Dijkstra's Algorithm 56:07
19 A* Algorithm 49:32
20 Admissibility of A* 51:23
21 A* Monotone Property,Iteractive Deeping A* 46:31
22 Recursive Best First Search,Sequence Allignment 49:46
23 Pruning the Open and Closed Lists 50:24
24 Problem Decomposition with goal Trees 48:12
25 AO * Algorithm 47:03
26 Game Playing 44:07
27 Game Playing Minimax Search 45:59
28 Game Playing AlphaBeta 47:46
29 Game Playing SSS 50:13
30 Rule Based Systems 47:32
31 Inference Engines 41:09
32 Rete Algorithm 49:27
33 Planning 50:23
34 Planning FSSP,BSSP 53:30
35 Goal Stack Planning Sussman's Anomaly 50:10
36 Non Linear Planning 45:54
37 Plan Space Planning 50:50
38 Graph Plan 47:50
39 Constraint Satisfaction Problems 52:00
40 CSP Continued 49:25
41 Knowlege Based Systems 53:21
42 Knowledge Based Systems PL 49:39
43 Propositional Logic 48:56
44 Resolution Refutation for PL 40:59
45 First Order Logic (FOL) 52:46
46 Reasoning in FOL 49:18
47 Backward Chaining 53:10
48 Resolution for FOL 46:06