Advanced M&S Framework Based on Autonomous Web Service in Korea: Intelligent-XMSF Approach

The ROK Armed Forces have developed its own division-level modeling and simulation (M&S) in the quarter century since it started to operate M&S, and achieved success in compliance testing to the international standard High Level Architecture/Run-time Infrastructure (HLA/RTI). This laid the f...

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Bibliographic Details
Published inSystems Modeling and Simulation: Theory and Applications pp. 150 - 158
Main Author Sohn, Mye M.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
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Summary:The ROK Armed Forces have developed its own division-level modeling and simulation (M&S) in the quarter century since it started to operate M&S, and achieved success in compliance testing to the international standard High Level Architecture/Run-time Infrastructure (HLA/RTI). This laid the foundation for using the simulation developed by the ROK Armed Forces in combined exercises with the United States. However, it is time to review the M&S standards adopted by the ROK Ministry of National Defense (MND), while various kinds of studies are performed, to enable easy interoperability and reusability between the M&Ss that HLA/RTI aims to develop. Ongoing studies include component-based Model-Driven Architecture (MDA), an Extensible Modeling and Simulation Framework (XMSF) supported by the Defense Modeling and Simulation Office (DMSO), and Intelligent XMSF (I-XMSF), the advanced framework of XMSF. I-XMSF is an architecture in which not only the human operator but also the software agent can play a role as components in the simulation. This paper introduces eXtensible Rule Markup Language for Web Service (XRML-S), the core element for implementation of I-XMSF, and shows how it is integrated into I-XMSF. In addition, the paper presents a way to further develop the M&S of the ROK Armed Forces, which has just begun to really flourish.
ISBN:3540244778
9783540244776
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-30585-9_17