01: Introduction
02: Formal Definitions for Artificial
Intelligence
03: History and Evolution of Artificial
Intelligence
04: Problem Solving
05: Search Strategies
06: DFS, BFS and Progressive Deepening
07: Heuristically Informed Searches
08: Best First Search
09: Adversarial Search
10: Comment on Evolution
11: Genetic Algorithm Problems
12: Eight Queens Problem
13: Knowledge Representation and Reasoning
14: Formal KR Techniques
15: Reasoning
16: Resolution
17: Expert Systems
18: Roles of an Expert System
19: Expert System & Forward Chaining
20: Backward Chaining
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21: CLIPS 22: CLIPS Example 23: CLIPS Integrated Development Environment 24: Design of Expert Systems 25: Practical Approach 26: Handling Uncertainty with Fuzzy Systems 27: Boolean VS Fuzzy 28: Fuzzy Set Representation 29: Fuzzy Inference System 30: Fuzzy Inference Process 31: Motivation 32: Machine Learning 33: Version Space and Searching 34: Candidate Elimination Algorithm 35: Decision Trees Learning 36: Information Gain 37: Connectionist 38: Multiple Layers of Perceptrons 39: Supervised 40: Planning & Motivation 41: Computer Vision 42: Clustering |