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Leveraging agent based simulation for rapid course of action development

Published: 04 December 2005 Publication History

Abstract

In the spring of 2005 a limited objective experiment was carried out to assess the feasibility of using agent based simulations to enhance co-evolutionary course of action development. In particular, relatively low fidelity simulations were employed to visualize the results of particular courses of action. Over four days multiple courses of action were developed by two opposing teams with similar force structures and then run against one another in an agent based modeling environment to test their ability to achieve the given mission. The results of the experiment indicate that there is significant potential for low fidelity simulations to stimulate objective thinking in course of action development.

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  • (2011)Knowledge-based pattern recognition method and tool to support mission planning and simulationProceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I10.5555/2041845.2041898(478-487)Online publication date: 21-Sep-2011

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cover image ACM Conferences
WSC '05: Proceedings of the 37th conference on Winter simulation
December 2005
2769 pages
ISBN:0780395190

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Winter Simulation Conference

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Published: 04 December 2005

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WSC '05 Paper Acceptance Rate 209 of 316 submissions, 66%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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  • (2011)Knowledge-based pattern recognition method and tool to support mission planning and simulationProceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I10.5555/2041845.2041898(478-487)Online publication date: 21-Sep-2011

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