Goals

Provide an introduction to knowledge-based systems and expert systems. More specifically, the course illustrates the methodologies for the analysis, design, development, and evaluation of knowledge-based systems and knowledge acquisition techniques. Some significant applications are illustrated in the field of qualitative simulation and diagnostic reasoning.

Topics

Development processes for knowledge-based systems. The KLIC methodology. Primary analysis processes. Opportunity analysis. Plausibility study. Primary development processes. Development of the demonstrator. Development of the prototype. Implementation, installation, and delivery of the target system. Primary operation processes: maintenance and extension. Supporting and management processes. Quality assurance. Verification and validation. Documentation. Project management: working team, project planning, management rules. Training. Knowledge acquisition techniques. Deep knowledge. Qualitative simulation and qualitative physics. QSIM. Model-based diagnosis. GDE. Multimodeling representation of physical systems. The DYNAMIS project.

Books and study material

G. Guida, C. Tasso. Design and Development of Knowledge-Based Systems. J. Wiley, 1994.

Transparencies of the course

Notes from the lectures