USING MACHINE APPRENTICES FOR TRANSIENT KNOWLEDGE WORK

This paper characterizes a class of problems that are knowledge intens ive hut with characteristics differing from those traditionally amenab le to an expert system approach. They are transient, emerging and rece ding in importance over time. They appear in environments where knowle dge intensive attention is highly scarce. And the opportunity cost in searching for confirming and clarifying data is high. The paper detail s a system for addressing such problems and continues by illustrating the system's effectiveness through a case study of the system's use.