Diagnostic: Abduction and Consistency

This lecture covers the characterization of diagnostic problems, focusing on diagnostic by abduction and consistency. It explains the process of finding faulty components in a system based on observed symptoms and additional measurements. The lecture delves into formalization, logical modeling, and explicit abduction mechanisms. It also explores the challenges of modeling faulty behaviors, expert rules, and the integration of uncertainties in reasoning. Practical examples, such as electrical circuit diagnostics, are used to illustrate the concepts. The lecture concludes with discussions on diagnostic limitations, uncertain reasoning, and the application of diagnostic methods in complex systems like space missions.