INTERACTIVE INDUCTION OF EXPERT KNOWLEDGE

The process of extracting, structuring and organizing elicited knowled ge (called knowledge acquisition) is a bottleneck in developing knowle dge-based systems. A manual approach that elicits domain knowledge by interviewing human experts typically has problems, because the experts are often unable to articulate their reasoning rules. An automatic ap proach that induces knowledge from a set of training cases also suffer s from the unavailability of sufficient training cases. We present an integrated approach that combines the strengths of both methods to com pensate for their weaknesses. In this approach, human experts are resp onsible for solving problems, whereas an inductive learning algorithm is responsible for reasoning and consistency checking. Copyright (C) 1 996 Elsevier Science Ltd