Abstract:
To ensure that expert system (ES) performance remains above the level of acceptance throughout the entire life cycle of the system, its knowledge base must periodically be updated and upgraded. In this paper, we review refinement activities taking place during ES development and exploitation, and outline a domain-independent refinement framework intended to support them.
Published Date: May 1998
Registration: ISBN 978-1-57735-051-4
Copyright: Published by The AAAI Press, Menlo Park, California