视频选集
（1/30）
1 Introduction and Scope
47:20
2 Reasoning Goal Trees and Problem Solving
45:58
3 Reasoning Goal Trees and Rule-Based Expert Systems
49:56
4 Search Depth-First Hill Climbing Beam
48:42
5 Search Optimal Branch and Bound A
48:37
6 Search Games Minimax and Alpha-Beta
48:17
7 Constraints Interpreting Line Drawings
49:13
8 Constraints Search Domain Reduction
45:24
9 Constraints Visual Object Recognition
51:33
10 Introduction to Learning Nearest Neighbors
49:56
11 Learning Identification Trees Disorder
49:37
12a Neural Nets
50:43
12b Deep Neural Nets
49:06
13 Learning Genetic Algorithms
47:17
14 Learning Sparse Spaces Phonology
47:50
15 Learning Near Misses Felicity Conditions
46:54
16 Learning Support Vector Machines
49:35
17 Learning Boosting
51:41
18 Representations Classes Trajectories Transitions
48:58
19 Architectures GPS SOAR Subsumption Society of Mind
49:06
21 Probabilistic Inference I
48:30
22 Probabilistic Inference II
48:46
23 Model Merging Cross-Modal Coupling Course Summary
49:31
Mega-R1 Rule-Based Systems
46:58
Mega-R2 Basic Search Optimal Search
51:56
Mega-R3 Games Minimax Alpha-Beta
50:56
Mega-R4 Neural Nets
52:38
Mega-R5 Support Vector Machines
49:53
Mega-R6 Boosting
49:56
Mega-R7 Near Misses Arch Learning
33:05
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