Proceedings and Bulletin of the International Data Farming Community

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Proceedings and Bulletin of the International Data Farming Community

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SEED Center for Data Farming (Simulation Experiments & Efficient Designs)

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Team 6: Utility of Distillation Modeling for Countering IEDs
(2009-11) Byers, Ken; Lesnowicz, Ed; Meyer, Ted; McDonald, Mary; Upton, Steve; Silwood, Narelle; Engleback, Nick; Middleton, Donna; Malcolm, Paul; Askman, Vic; Gunzelman, Karl; DeLange, Jon Paul; Lowry, Bruce; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
This 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.
Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 16 Workshop 28
(2015-03) Meyer, Ted; Horne, Gary; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
Proceedings and Bulletin of the International Data Farming Community, Issue 16, Workshop 28 Publication date: March 2015
Team 3: Data Farming the Agent-Based ELICIT (abELICIT) Model
(2010-09) Upton, Stephen C.; Whitney, Laura; Sanchez, Susan; Robinson, Stephen M.; Freire, Fernando; Manso, Marco; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
ELICIT (Experimental Laboratory for the Investigation of Collaboration, Information-sharing and Trust) is a research and experimentation program developed for the US DOD CCRP (Command and Control Research Program) to conduct research related with collaboration, information sharing and trust in organizations.
Team 4: NATO MSG-088 Data farming In support of NATO case study on force protection, Scythe: Proceedings and Bulletin of the International Data Farming Community Issue 11: 18-21
(2011-09) Geiger, André; Mayer, Sascha; Sanchez, Paul; Sanchez, Susan; Jokinen, Kosti; Kylmala, Jarkko; Shubert, Johan; Ng, Kevin; Seichter, Stephan; Holscher, Markus; Kallfass, Daniel; Wagner, Gudrun; Zimmermann, Alexander; Hartmann, Jens; SEED Center for Data Farming (Simulation Experiments & Efficient Designs); Operations Research
In 2010, the NATO Modeling and Simulation Task Group "Data Farming in Support of NATO" (MSG-088) has been established with the goal of assessing the data farming capabilities that NATO, PfP, and Contact Countries, schools, and agencies have as well as to find out in which way these capabilities can contribute to the development of improved decision support to NATO forces.
Team 2: Simulation of Technical Aspects in Network-Centric Operations: Results
(2006-11) Erdmann, B.; Haymann, Karsten; Musselman, Roger; Schwierz, Klaus-P.; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
The German Federal Office of Defense Technology and Procurement, has been analyzing the influence of networked sensors and effectors on military capabilities. Background for the actual technical evaluations of sensors, effectors and the connecting network is the scenario vignette: Convoy Protection as part of an over all scenario PSO in an urban environment.
Team 2: Situation Awareness of an Infantry Unit in a Chemical Environment
(2007-03) Kent, W.; Pearman, G.; Henscheid, Z.; Calloway, L.; Ferguson, M.; Roginski, J.; Ugarte, M.; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
The German Federal Office of Defense Technology and Procurement has been analyzing the influence of networked sensors and effectors on military capabilities. The background of our overall scenario is peace support operations (PSO) in an urban environment. The background for the actual technical evaluations of sensors, effectors and the connecting network is the following scenario vignette: Convoy Protection.
Team 13: U.S. Customs and Border Protection (CBP) Analysis Support: Tunnel Detection System
(2010-03) Ugarte, Manuel A.; Anderson, Thomas S.; Huynh, Thomas; Langford, Gary; Nannini, Chris; McMurtrie, Thomas; Wolberg, Sarah; Brown, Brittlea; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
Since 1990, more than 116 cross-border subterranean tunnels have been discovered along the continental US borders, the vast majority between US and Mexico. Tunnels present a low probability, high threat scenario to the United States and are a known means of illicit transportation of drugs, weapons, money and people across the US border. The perpetrators engaged in illicit trafficking are intelligent, tenacious, technologically innovative and they relentlessly seek to continue to expand their profitable enterprise. In today’s world, confronted with the realities of terrorism and terroristic objectives, one must also acknowledge that tunnels pose a looming threat to national security. Tunnels are also a persistent military threat. A 2007 operational needs statement (ONS) from US Central Command (CENTCOM) noted that detainees were attempting to tunnel as a means to escape from the internment facilities.
Team 1: Applying Automated Red Teaming in a Maritime Scenario
(2009-03) Han, Alan Wong Chin; Chung, Sim Wee; Lian, Chua Ching; Kiat, Lim Yeng; Chin, Shian Kang; Lijun, Carol Teo; Lampe, Thorsten; Hingston, Philip; Abbott, Ben; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
With shipping at the heart of the global economy, maritime security is required to ensure freedom of the seas and to facilitate freedom of navigation and commerce. Faced with an array of threats from the terrorists and criminals, nations should stand united and share in the responsibility for maintaining maritime security. In IDFW 15, our team will focus on anchorage protection and continue our works from IDFW 14.
Team 9: Representing Urban Cultural Geography in Stability Operations (RUCG-SO)
(2008-04) SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
Representing Urban Culture Geography in Stability Operations concerns the representation of the civilian population in a conflict environment. This working group used a scenario developed for Pythagoras and a scenario developed for a prototype multi-agent system model of the civilian population to explore the response of the civilian population to insurgent, government and stability force actions in a counterinsurgency environment. The working group also examined potential measures of merit from recent work by an irregular warfare modeling and analysis working group.
Recent Developments in the MANA Agent-based Model
(2006-11) McIntosh, Gregory C.; Galligan, David P.; Anderson, Mark A.; Lauren, Michael K.; SEED Center for Data Farming (Simulation Experiments & Efficient Designs)
Agent-based models have recently gained in popularity for modelling military operations. They purposefully leave out detailed physical attributes of the military entities concerned if this is not expected to have any bearing on the study at hand. This allows scenarios to be run relatively fast, over many excursions in order to discover unique situations or tactics where friendly forces can achieve dominance over an enemy. Another key feature of agent-based models is that, although the one-to-one interaction between various agents and their environment may be quite simple, the combined effect of many agents interacting can lead to complicated group dynamics and emergent behaviour. In this regard, agent-based models have the potential to represent the more chaotic and intangible aspects of military conflicts.