Control and Integration of Diverse Knowledge in a Diagnostic Expert System

Though current expert system technology has become a major success, e x i s t i n g expert systems o f ten f a l l short of human exper t ise In many ways. One Important area is in the use of more bas ic , deep knowledge as an enhancement to the shal low, surface knowledge commonly employed. The In tegra t ed Diagnost ic Model attempts to e x p l o i t the use of both types of knowledge by f i t t i n g the appropr iate knowledge representa t ion and u t i l i z a t i o n techniques to each. The r e s u l t is two separate and Independent expert systems which are then integrated and c o n t r o l l e d by a h i g h e r l e v e l module ca l l ed the execu to r .