ABSTRACT
Knowledge acquisition for expert systems poses many problems. Expert systems depend on a human expert to formulate knowledge in symbolic rules. It is almost impossible for an expert to describe knowledge entirely in the form of rules. In particular, it is very difficult to describe knowledge acquired by experience. An expert system may, therefore, not be able to diagnose a case whereas the expert is able to do so. The question is how to extract experience from a set of examples for the use of expert systems.
