The Ballarat Incremental Knowledge Engine

  • Richard Dazeley
  • Philip Warner
  • Scott Johnson
  • Peter Vamplew
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6232)

Abstract

Ripple Down Rules (RDR) is a maturing collection of methodologies for the incremental development and maintenance of medium to large rule-based knowledge systems. While earlier knowledge based systems relied on extensive modeling and knowledge engineering, RDR instead takes a simple no-model approach that merges the development and maintenance stages. Over the last twenty years RDR has been significantly expanded and applied in numerous domains. Until now researchers have generally implemented their own version of the methodologies, while commercial implementations are not made available. This has resulted in much duplicated code and the advantages of RDR not being available to a wider audience. The aim of this project is to develop a comprehensive and extensible platform that supports current and future RDR technologies, thereby allowing researchers and developers access to the power and versatility of RDR. This paper is a report on the current status of the project and marks the first release of the software.

Keywords

Ripple Down Rules Toolkit Knowledge Based System Machine Learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Richard Dazeley
    • 1
  • Philip Warner
    • 1
  • Scott Johnson
    • 1
  • Peter Vamplew
    • 1
  1. 1.Graduate School of Information Technology and Mathematical SciencesUniversity of BallaratMount HelenAustralia

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