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dc.contributor.authorTurner, Andrew
dc.contributor.authorBalestrini-Robinson, Santiago
dc.contributor.authorHorne, Gary
dc.dateSeptember 2010
dc.date.accessioned2013-08-28T23:11:14Z
dc.date.available2013-08-28T23:11:14Z
dc.date.issued2010-09
dc.identifier.urihttps://hdl.handle.net/10945/35684
dc.descriptionfrom Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 9 Workshop 21en_US
dc.description.abstractTeam 7 developed an Agent Based Model in NetLogo 4.1 to study the impacts of the placement and size of resource dispensaries and processing centers on the successfulness of a Humanitarian Relief Mission. The model tracks the number of people in need of resources, time to receive resources, crime incidents, and population migration. The model incorporates social attributes, ethnicity, and people’s resource desires.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 States.en_US
dc.titleTeam 7: The Application of Agent Based Modeling to Determine the Placement of Resources during Humanitarian Relief Missionsen_US
dc.typeArticleen_US


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