1. When implementing Al systems, explain why you would choose a machine learning architecture over a rule-based system. 2. Describe the architecture of an expert system and describe the roles of the various people involved in it. 3. What is knowledge? Explain why experts usually have detailed knowledge of a limited area of a specific domain. What do we mean by heuristic? 4. What is a production rule? Give an example and define two basic parts of the production rule. 5. List advantages of rule-based expert systems. What are their disadvantages? 6. List and describe the five major players in the expert system development team. What is the role of the knowledge engineer? 7. What is an expert system shell? Explain why the use of an expert system shell can dramatically reduce the development time of an expert system. 8. What is a production system model? List and define the five basic components of an expert system. 9. What are the fundamental characteristics of an expert system? What are the differences between expert systems and conventional programs? 10. Can an expert system make mistakes? Why?