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dc.contributor.authorSoo, Andy Ong Kim
dc.contributor.authorHwee, Andrew Wong Teck
dc.contributor.authorDarken, Christian J.
dc.contributor.authorBuss, Arnold H.
dc.contributor.otherMOVES Institute
dc.date2010-06
dc.date.accessioned2013-09-25T22:58:00Z
dc.date.available2013-09-25T22:58:00Z
dc.date.issued2010-06
dc.identifier.citationProceedings of the 15th International Command and Control Research and Technology Symposium (ICCRTS) 2010 "The Evolution of C2".
dc.identifier.urihttp://hdl.handle.net/10945/36611
dc.description.abstractMilitary plans validation is typically a long and costly process requiring planners to validate their plans using anticipated scenarios or through military exercises. While military exercises provide realistic simulation of the plan, it is often the most expensive way of validating a plan. On the other hand, although using anticipated scenarios is relatively cheaper, the robustness of the validated plans is dependent on the scenarios against which they are validated. This, in turn, depends on the experience of the planners that crafted the scenarios. This paper describes research on an alternative way of plans validation in the context of air defence done at Naval Postgraduate School as part of a postgraduate course of study. It explores the possibility of using a multi-agent system (MAS) to analyze air defence plan and generated potential air strike plans that exploit weaknesses in the air defence plan. The resulting plans are fed into a low resolution Discrete Event Simulation (DES) based air defence simulator to simulate the effects of the air strike plan against the air defence plan. A prototype was developed and has demonstrated the ability to validate air defence plans using MAS-generated strike plans and a low resolution DES-based simulation successfully.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United Statesen_US
dc.titlePlans validation using DES and agent-based simulationen_US
dc.contributor.corporateNaval Postgraduate School, Monterey, California
dc.contributor.departmentComputer Science (CS)
dc.subject.authormodeling and simulationen_US


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