Detecting the Knowledge Boundary with Prudence Analysis

Authors:
Richard Dazeley;Byeong-Ho Kang
Affiliations:
School of Information Technology and Mathematical Sciences, University of Ballarat, Ballarat, Australia 7353;School of Computing and Information Systems, University of Tasmania, Hobart, 7001
Venue:
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2008

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Abstract

Prudence analysis (PA) is a relatively new, practical and highly innovative approach to solving the problem of brittleness in knowledge based systems (KBS). PA is essentially an online validation approach, where as each situation or case is presented to the KBS for inferencing the result is simultaneously validated. This paper introduces a new approach to PA that analyses the structure of knowledge rather than the comparing cases with archived situations. This new approach is positively compared against earlier systems for PA, strongly indicating the viability of the approach.