Expert Systems: Backward Chaining

This lecture covers the principles of expert systems, focusing on inference by backward chaining, systems experts, and uncertainty through fuzzy logic. It explains the analysis of means-ends, the General Problem Solver (GPS), and the formulation of knowledge by rules. The lecture delves into the challenges of dealing with complex expert domains and the importance of means-ends analysis. It also explores the architecture of backward chaining, the integration of forward and backward chaining, and the practical applications of expert systems in various fields. Additionally, it discusses the treatment of uncertainty using fuzzy logic, certainty factors, and the combination of certainty factors in rule-based systems.