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- 2. 2 Expert System Main Components Knowledge base obtainable from books, magazines, knowledgeable persons, etc. Inference engine draws conclusions from the knowledge base
- 3. 3 Figure 1.2 Basic Functions of Expert Systems
- 4. 4 Problem Domain vs. Knowledge Domain An experts knowledge is specific to one problem domain medicine, finance, science, engineering, etc. The experts knowledge about solving specific problems is called the knowledge domain. The problem domain is always a superset of the knowledge domain.
- 5. 5 Figure 1.3 Problem and Knowledge Domain Relationship
- 6. 6 Foundation of Expert Systems
- 7. 7 General Methods of Inferencing Forward chaining (data-driven) reasoning from facts to the conclusions resulting from those facts best for prognosis, monitoring, and control. Examples: CLIPS, OPS5 Backward chaining (query driven) reasoning in reverse from a hypothesis, a potential conclusion to be proved to the facts that support the hypothesis best for diagnosis problems. Examples: MYCIN