Professor Susan Craw s.craw@rgu.ac.uk
Emeritus Professor
Knowledge refinement tools seek to correct faulty knowledge based systems (KBSs) by identifying and repairing potentially faulty rules. The goal of the KrustWorks project is to provide a source of refinement components from which specialised refinement tools tailored to the needs of a range of KBSs are built. A core refinement algorithm reasons about the knowledge that has been applied, but this approach demands general knowledge structures to represent the reasoning of a particular problem solving episode. This paper investigates some complex forms of rule interaction and defines a knowledge structure encompassing these. The approach has been applied to KBSs built in four shells and is demonstrated on a small example that incorporates some of the complexity found in real applications.
CRAW, S. and BOSWELL, R. 1999. Representing problem-solving for knowledge refinement. In Proceedings of the 16th American Association for Artificial Intelligence national conference on artificial intelligence (AAAI-99), co-located with the 11th Annual conference on innovative applications of artificial intelligence (IAAI-99), 18-22 July 1999, Orlando, USA. Palo Alto: AAAI Press, pages 227-234.
Conference Name | 16th American Association for Artificial Intelligence national conference on artificial intelligence (AAAI-99) |
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Conference Location | Orlando, USA |
Start Date | Jul 18, 1999 |
End Date | Jul 22, 1999 |
Acceptance Date | Jan 27, 1999 |
Online Publication Date | Dec 31, 1999 |
Publication Date | Sep 30, 1999 |
Deposit Date | Jun 8, 2007 |
Publicly Available Date | Jun 8, 2007 |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 227-234 |
ISBN | 9780262511063 |
Keywords | Knowledge refinement; Knowledge based systems; Problem solving |
Public URL | http://hdl.handle.net/10059/67 |
Publisher URL | https://dl.acm.org/citation.cfm?id=315282 |
CRAW 1999 Representing problem-solving
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