- Title
- RM and RDM, a preliminary evaluation of two prudent RDR Techniques
- Creator
- Maruatona, Omaru; Vamplew, Peter; Dazeley, Richard
- Date
- 2012
- Type
- Text; Book chapter
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/73374
- Identifier
- vital:7052
- Identifier
-
https://doi.org/10.1007/978-3-642-32541-0_16
- Identifier
- ISBN:978-3-642-32540-3
- Abstract
- Rated Multiple Classification Ripple Down Rules (RM) and Ripple Down Models (RDM) are two of the successful prudent RDR approaches published. To date, there has not been a published, dedicated comparison of the two. This paper presents a systematic preliminary evaluation and analysis of the two techniques. The tests and results reported in this paper are the first phase of direct evaluations of RM and RDM against each other.
- Publisher
- Springer
- Relation
- Knowledge Management and acquisition for intelligent systems: 12th Pacific Rim Knowledge Acquisition workshop p. 188-194
- Rights
- This metadata is freely available under a CCO license
- Subject
- Prudence Analysis; RDR; MCRDR; KB brittleness; RM; RDM
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