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Extended RUSES

  • Suk-Hoon Shin
  • Eun-Bog Lee
  • Sung-Do Chi
Conference paper
Part of the Proceedings in Information and Communications Technology book series (PICT, volume 4)

Abstract

This paper proposes an Extended RUSES for improving the conventional rule-based SES(RUSES). The Extended RUSES is maintaining the advantages of RUSES for supporting the configuration automation, capability as well as providing context sensitive pruning by adding the new property setting rules to entity based on this idea, the methodology of Extended RUSES has been suitably proposed.

Keywords

Underwater Vehicle Inference Engine Generic Frame Context Sensitivity Pruning Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Zeigler, B.P.: System-theoretic Representation of Simulation Models. IIT Transactions, 19–34 (1984)Google Scholar
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    Lee, H.J., Zeigler, B.P.: SES-based Ontological Process for High Level Information Fusion. In: Proceeding of the 2010 Spring Simulation Multiconference, SpringSim 2010 (2010)Google Scholar
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    Chi, S.D., Lee, J.K.: Evaluating Alternative System Designs, TRANSACTIONS of the Society for Computer Simulation International. The Society for Computer Simulation International 17(3), 148–160 (2000)Google Scholar

Copyright information

© Springer Tokyo 2012

Authors and Affiliations

  • Suk-Hoon Shin
    • 1
  • Eun-Bog Lee
    • 1
  • Sung-Do Chi
    • 1
  1. 1.Dept. of Computer EngineeringIntelligent System Research Laboratory, Korea Aerospace UniversityGoyang-siKorea

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