3. Historically, what were the differences between decision support and expert systems? What factors led to the narrowing of those differences? What implication does this have for the model management feature in DSS?

4. How do you know when you have included enough "intelligence" in a decision support system?

5. Compare and contrast symbolic processing and numerical processing. Why is the former referred to as "intelligence"?

6. What factors would lead you to recommend selecting a project that is appropriate for expert systems development?

7. Consider preparing a DSS for which certainty factors are relevant. This may be a class project, an example with which you are familiar, or a hypothetical example. What issues need to be tracked with certainty factors?