<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Neema, Himanshu</style></author><author><style face="normal" font="default" size="100%">Nine, Harmon</style></author><author><style face="normal" font="default" size="100%">Graham Hemingway</style></author><author><style face="normal" font="default" size="100%">Sztipanovits, Janos</style></author><author><style face="normal" font="default" size="100%">Karsai, Gabor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Rapid Synthesis of Multi-Model Simulations for Computational Experiments in C2</style></title><secondary-title><style face="normal" font="default" size="100%">Armed Forces Communications and Electronics Association - George Mason University Symposium</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">command and control</style></keyword><keyword><style  face="normal" font="default" size="100%">data interoperability</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">heterogeneous simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">high-level architecture</style></keyword><keyword><style  face="normal" font="default" size="100%">meta-modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">model-based integration</style></keyword><keyword><style  face="normal" font="default" size="100%">model-based program synthesis</style></keyword><keyword><style  face="normal" font="default" size="100%">multi-model simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">multi-paradigm modeling</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2009</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://archive.isis.vanderbilt.edu/sites/default/files/C4I-09-07.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">George Mason University: http://hdl.handle.net/1920/5639</style></publisher><pub-location><style face="normal" font="default" size="100%">Lansdowne, Virginia</style></pub-location><abstract><style face="normal" font="default" size="100%">Abstract-Virtual evaluation of complex command and control concepts demands the use of heterogeneous simulation environments. Development challenges include how to integrate multiple simulation platforms with varying semantics and how to integrate simulation models and the complex interactions between them. While existing simulation frameworks may provide many of the required services needed to coordinate among multiple simulation platforms, they lack an overarching integration approach that connects and relates the semantics of heterogeneous domain models and their interactions. This paper outlines some of the challenges encountered in developing a command and control simulation environment and discusses our use of the GME meta-modeling tool-suite to create a model-based integration approach that allows for rapid synthesis of complex HLA-based simulation environments.</style></abstract><issue><style face="normal" font="default" size="100%">Critical Issue in C4I</style></issue><notes><style face="normal" font="default" size="100%">The research was conducted by Institute for Software Integrated Systems at Vanderbilt University, in collaboration with George Mason University, University of California at Berkeley, and University of Arizona.</style></notes></record></records></xml>