Generalising Ripple-Down rules

Paul Compton*, Debbie Richards

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

7 Citations (Scopus)

Abstract

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 proposes a generalisation of RDR that may enable experts to evolve KBS for a range of tasks.

Original languageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management: Methods, Models, and Tools - 12th International Conference, EKAW 2000, Proceedings
EditorsRose Dieng, Olivier Corby
Place of PublicationBerlin; Heidelberg
PublisherSpringer, Springer Nature
Pages380-386
Number of pages7
Volume1937
ISBN (Print)3540411194, 9783540399674
Publication statusPublished - 2000
Event12th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2000 - Juan-les-Pins, France
Duration: 2 Oct 20006 Oct 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1937
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other12th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2000
CountryFrance
CityJuan-les-Pins
Period2/10/006/10/00

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