- Title
- Detecting the knowledge boundary with prudence analysis
- Creator
- Dazeley, Richard; Kang, Byeongho
- Date
- 2008
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/44058
- Identifier
- vital:3715
- Identifier
-
https://doi.org/10.1007/978-3-540-89378-3_49
- Identifier
- ISBN:9783540893776
- 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.
- Publisher
- Auckland, New Zealand : Springer
- Relation
- Paper presented at 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand : 1st-5th December 2008 p. 482-488
- Rights
- Copyright Springer
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0801 Artificial Intelligence and Image Processing; Knowledge based systems; Knowledge representation; Prudence analysis; Ripple-down rules; Verification and Validation
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