RSIE: a tool dedicated to reflexive systems

  • Authors:
  • Yann Barloy;Jean-Marc Nigro;Sophie Loriette;Baptiste Cable

  • Affiliations:
  • Charles Delaunay Institute, UTT, Troyes, France;Charles Delaunay Institute, UTT, Troyes, France;Charles Delaunay Institute, UTT, Troyes, France;Charles Delaunay Institute, UTT, Troyes, France

  • Venue:
  • ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
  • Year:
  • 2010

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Abstract

This article deals with how metaknowledge can improve rule-based system and presents a new Reflexive System Inference Engine (RSIE) which enables not only the activation of rules, but also metarules, making it belong to systems managing metaknowledge. The experimentation section shows a rule-based system named IDRES with a structure which has been modified to use metaknowledge.