Adaptive Ripple Down Rules Method based on Description Length
نویسندگان
چکیده
منابع مشابه
Adaptive Ripple Down Rules Method based on Minimum Description Length Principle
A knowledge acquisition method Ripple Down Rules (RDR) can directly acquire and encode knowledge from human experts. It is an incremental acquisition method and each new piece of knowledge is added as an exception to the existing knowledge base. Past researches on RDR method assume that the problem domain is stable. This is not the case in reality, especially when an environment changes. Things...
متن کاملExtending Ripple-Down Rules
Ripple-Down Rules (RDR) has had considerable success in providing simple incremental knowledge acquisition in classification domains. It has been extended to multiple classification, configuration, search and more recently to resource allocation tasks. Based on the experience of applying RDR to a resource allocation task, this paper proposes a generalisation of RDR to enable it to apply to a wi...
متن کاملGeneralising Ripple-Down Rules
Ripple-Down Rules (RDR) has the goal of simple, incremental development of a knowledge-based system (KBS) while the KBS is already in use, so that over time an expert can evolve a sophisticated KBS as a minor extension of their normal duties. RDR has had considerable success in developing classification KBS. It has been extended to configuration, heuristic search and other tasks. This paper pro...
متن کاملExperience with Ripple-Down Rules
Ripple-Down Rules (RDR) is an approach to building knowledge-based systems (KBS) incrementally, while the KBS is in routine use. Domain experts build rules as a minor extension to their normal duties, and are able to keep refining rules as KBS requirements evolve. Commercial RDR systems are now used routinely in some Chemical Pathology laboratories to provide interpretative comments to assist c...
متن کاملCharacterization of Default Knowledge in Ripple Down Rules Method
\Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incrementally to the knowledge-base being constructed and new piece of knowledge is added as an exception to the existing knowledge. Because of this patching principle, the knowledge acquired strongly depends on what is given as the def...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2004
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.19.460