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dc.contributor.authorByers, Ken
dc.contributor.authorLesnowicz, Ed
dc.contributor.authorMeyer, Ted
dc.contributor.authorMcDonald, Mary
dc.contributor.authorUpton, Steve
dc.contributor.authorSilwood, Narelle
dc.contributor.authorEngleback, Nick
dc.contributor.authorMiddleton, Donna
dc.contributor.authorMalcolm, Paul
dc.contributor.authorAskman, Vic
dc.contributor.authorGunzelman, Karl
dc.contributor.authorDeLange, Jon Paul
dc.contributor.authorLowry, Bruce
dc.dateNovember 2009
dc.date.accessioned2013-08-28T23:11:11Z
dc.date.available2013-08-28T23:11:11Z
dc.date.issued2009-11
dc.identifier.urihttp://hdl.handle.net/10945/35666
dc.descriptionfrom Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 7 Workshop 19en_US
dc.description.abstractThis Team participated in an ongoing study to examine the utility of distillation modeling in the Counter-IED (Improvised Explosive Devices) fight. In September, as part of that study, an Agent-Based Modeling workshop examining hard questions in the Counter-IED battle identified a set of problems that can be addressed by agent-based models and related methods such as data farming. The questions covered C-IED needs in various categories including: insurgent network evolution and adaptation; red-teaming and technical gaming; C-IED initiative assessment; and recidivism. This team reviewed the output from the September workshop on agent-based modeling, extracted problems that can feasibly be addressed in a rapid prototyping process, and began to design a software experiment that will address a selected problem.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleTeam 6: Utility of Distillation Modeling for Countering IEDsen_US
dc.typeArticleen_US


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