Abstract

Effective knowledge acquisition amounts to having good sources of expectations that can provide guidance about what knowledge needs to be acquired from users. Current approaches to knowledge acquisition often rely on strong models of the problem-solving method used in the task domain to form expectations. These methods are often implicit in the tool, which is a strong limitation for their use in different domains. Additionally, these tools require an understanding of the method to be used that most experts find difficult to overcome. We present EXPECT, a novel approach to knowledge acquisition based on the EES architecture that forms expectations based on the current knowledge contained in the system about the task, and are not hard-coded in the tool. We show how the explicit representation of domain principles and its relation to compiled procedural knowledge enables a system to form expectations as …

Date

December 8, 1993

Authors

CECILEL PARIS, YOLANDA GIL