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Detecting the knowledge boundary with prudence analysis

Citation

Dazeley, R and Kang, BH, Detecting the knowledge boundary with prudence analysis, AI 2008: Advances in Artificial Intelligence 21st Australasian Joint Conference on Artificial Intelligence, 1-5 December 2008, Auckland, New Zealand, pp. 482-488. ISBN 3-540-89377-6 (2008) [Refereed Conference Paper]

Copyright Statement

Copyright 2008 Springer-Verlag Berlin Heidelberg

DOI: doi:10.1007/978-3-540-89378-3_49

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.

Item Details

Item Type:Refereed Conference Paper
Keywords:knowledge based systems, knowledge representation, prudence analysis, ripple down rules, verification and validation
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Expert Systems
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Kang, BH (Professor Byeong Kang)
ID Code:54048
Year Published:2008
Deposited By:Computing and Information Systems
Deposited On:2009-02-09
Last Modified:2014-12-09
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