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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2010: Artifical Intelligence and Soft Computing pp 363–370Cite as

RSIE: A Tool Dedicated to Reflexive Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

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.

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Author information

Authors and Affiliations

  1. Charles Delaunay Institute - UTT, 12 rue Marie Curie, 10000, Troyes, France

    Yann Barloy, Jean-Marc Nigro, Sophie Loriette & Baptiste Cable

Authors
  1. Yann Barloy
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  2. Jean-Marc Nigro
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  3. Sophie Loriette
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  4. Baptiste Cable
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley Initiative in Soft Computing (BISC), 94720-1776, CA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Barloy, Y., Nigro, JM., Loriette, S., Cable, B. (2010). RSIE: A Tool Dedicated to Reflexive Systems. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_44

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  • DOI: https://doi.org/10.1007/978-3-642-13232-2_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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