Course Content
UNIT- 1
0/3
1.1 Intro to AI & its approaches
19:53
1.2 Applications of AI
18:21
1.3 Production System Characteristics & Types
42:16
UNIT- 2
0/3
2.1 Intro to Search Techniques
22:24
2.2 A* star and AO* star
26:40
2.3 Best First Search and Hill Climbing
37:31
UNIT- 3
0/6
3.1 Knowledge Based System
16:53
3.2 Knowledge Representation & Types of Knowledge
19:25
3.3 Cycle of Knowledge Representation
09:43
3.4 Technique of Knowledge Representation
11:30
3.5 Approached to Knowledge Representation
13:54
3.6 Resolution Proposition Logic
29:50
UNIT- 4
0/10
4.1 Introduction to Learning
18:34
4.2 Learning Models
33:10
4.3 Forward & Backward Chaining
13:51
4.4 Learning Paradigms
17:00
4.5 Machine Learning
08:07
4.6 Types of ML
16:55
4.7 Expert System
17:00
4.8 Expert System Components
27:49
4.9 Mycin Emycin
05:03
4.10 Expert System Shell
11:07
UNIT- 5
0/6
5.1 Introduction to LISP
23:02
5.2 Data Types Variable
20:41
5.3 Loop Constructs
17:10
5.4 Operators & Decision Construct
16:47
5.5 Functions
26:34
5.6 List Processing
19:38
Artificial Intelligence
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