The meta-inferences engine: A new tool to manipulate metaknowledge

Authors:
Jean-Marc Nigro;Yann Barloy
Affiliations:
Institut Charles Delaunay (FRE CNRS 2848), Université de Technologie de Troyes, 12 Rue Marie Curie, BP 2060, 10010 Troyes Cedex, France;Institut Charles Delaunay (FRE CNRS 2848), Université de Technologie de Troyes, 12 Rue Marie Curie, BP 2060, 10010 Troyes Cedex, France
Venue:
Knowledge-Based Systems
Year:
2008

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Abstract

This paper presents the structure and the performance of a new inference engine: the MIE (meta-inference engine). It is able to manipulate not only the rules but also the meta-rules. The article first describes the architecture of the MIE and gives an example to illustrate its use. A comparison of performance between an RETE network and the MIE is then made. This shows that the MIE is more efficient at manipulating metaknowledge (meta-rules) but that an RETE network is quicker when the system inserts or deletes a fact.