The K-Rep system was built to explore the utility of a KL-One style knowledge representation in the development of expert systems. Beginning in about 1985, our activity in expert systems has been centered on the FAME (FinAncial Marketing Expertise) system[4]. FAME attempts to provide support to an IBM marketing representative in the financing decisions involved in the acquisition of large mainframe computer systems. Based on our experience in building a feasibility demonstration of FAME using a rule based approach, we concluded that the rule based technology would not easily scale up. Thus we abandoned the rule based approach in favor of organizing the system as a set of problem solvers around a common conceptual core. Since diverse problem solvers would be utilized in FAME, it was thought desireable that the conceptual core have a well-defined, enforceable semantics. These considerations led us to the KL-One[3] style knowledge representation.
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