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Heuristically Informed Searches (V-U)
Course:
Artificial Intelligence (V-U)
Discipline:
Applied Sciences
Institute:
Virtual University
Instructor(s):
Dr. Zafar Alvi
Level:
Undergraduate
Artificial Intelligence (V-U)
Adversarial Search (V-U)
Backward chaining (V-U)
Best First Search (V-U)
Boolean versus Fuzzy (V-U)
Candidate Elimination Algorithm (V-U)
Genetic Algorithm Problems (V-U)
CLIPS (V-U)
Handling uncertainty with fuzzy systems (V-U)
CLIPS Example (V-U)
Heuristically Informed Searches (V-U)
CLIPS Integrated Development Environment (V-U)
History and Evolution of Artificial Intelligence (V-U)
Clustering (V-U)
Information Gain (V-U)
Comment on Evolution (V-U)
Introduction (V-U)
Computer Vision (V-U)
Knowledge Representation and Reasons (V-U)
Conclusion (V-U)
Machine Learning (V-U)
Connectionist (V-U)
Decision Trees Learning (V-U)
Motivation (V-U)
Multiple layers of Perceptrons (V-U)
Design of expert systems (V-U)
Planning & Motivation (V-U)
Design of expert systems 2 (V-U)
Practical Approach (V-U)
DFS, BFS and Progressive Deepening (V-U)
Problem Solving (V-U)
Eight Queens Problem (V-U)
Problem Solving 2 (V-U)
Expert System & Forward Chaining (V-U)
Reasoning (V-U)
Expert Systems (V-U)
Resolution (V-U)
Formal Definitions for Artificial Intelligence (V-U)
Roles of an expert system (V-U)
Formal KR techniques (V-U)
Search Strategies (V-U)
Fuzzy Inference Process (V-U)
Supervised (V-U)
Fuzzy Inference System (V-U)
Version Space and Searching (V-U)
Fuzzy Set Representation (V-U)
