Data farming and defense applications

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Horne, Gary
Meyer, Ted
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Date of Issue
2010
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2010
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Abstract
Data farming uses simulation modeling, high performance computing, experimental design, and analysis to examine questions of interest with large possibility spaces. This methodology allows for the examination of whole landscapes of potential outcomes and provides the capability of executing enough experiments so that outliers might be captured and examined for insights. It can be used to conduct sensitivity studies, to support validation and verification of models, to iteratively optimize outputs using heuristic search and discovery, and as an aid to decision-makers in understanding complex relationships of factors. In this paper we will describe efforts at the Naval Postgraduate School in developing these new and emerging tools. We will also illustrate data farming in the context of application to questions inherent in military decision-making. The particular application we present here is social network modeling to support the countering of improvised explosive devices.
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Conference Paper
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MODSIM World Conference and Expo
SEED Center Paper
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https://hdl.handle.net/10945/35345
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Horne, G. E. and T. Meyer, 2010, Data farming and defense applications. MODSIM World Conference and Expo, "21st Century Decision-Making, The Art of Modeling & Simulation", Hampton Roads Convention Center, Hampton, VA, USA 13-15 October 2010
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This 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 States.
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