Modeling Information Operations in a Tactical-level Stabilization Environment

Gaffney, Helen; Vincent, Alasdair

doi:10.1177/1548512910388199

Cited by 2 publications

(1 citation statement)

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“…incident management systems" (Sugiyama 2011). , "[Conceptual modeling] is almost certainly the most important aspect of a simulation project" and is widely discussed in the literature (Hamilton 2006;Özhan et al 2008;Robinson 2008a,b;Robinson 2010;Gaffney and Vincent 2011;Graniela and Proctor 2012;Sokolowski et al 2012;Çelik et al 2013;Morris et al 2014;Ünal and Topçu 2014). Our CM approach incorporates legacy models and the notional federation shown in Figure 2 within the context of SoS.…”

Section: System Of Systems Conceptual Model For Improved Nuclear Disamentioning

confidence: 99%

A Systems-Of-Systems Conceptual Model and Live Virtual Constructive Simulation Framework for Improved Nuclear Disaster Emergency Preparedness, Response, and Mitigation

Davis

Proctor

Shageer

2016

Journal of Homeland Security and Emergency Management

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Nuclear disasters have severe and far-reaching consequences. Emergency managers and first responders from utility owners to local, state, and federal civil authorities and the Department of Defense (DoD) must be well prepared in order to rapidly mitigate the disaster and protect the public and environment from spreading damage. Given the high risks, modeling and simulation (M&S) plays a significant role in planning and training for the spectrum of derivate scenarios. Existing reactor models are largely legacy, stove-piped designs lacking interoperability between themselves and other M&S tools for emergency preparedness system evaluation and training. Unmanned systems present a growing area of technology promising significant improvement in response and mitigation. To bridge the gap between current and future models, we propose a conceptual model (CM) for integrating live, virtual, and constructive (LVC) models with nuclear disaster and mitigation models utilizing a system-ofsystems (SoS) approach. The CM offers to synergistically enhance current reactor and dispersion simulations with intervening avatar and agent simulations. The SoS approach advances life cycle stages including concept exploration, system design, engineering, training, and mission rehearsal. Component subsystems of the CM are described along with an explanation of input/output requirements. A notional implementation is described. Finally, applications to analysis and training, an evaluation of the CM based on recently proposed criteria found in the literature, and suggestions for future research are discussed.

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Section: System Of Systems Conceptual Model For Improved Nuclear Disamentioning

confidence: 99%

A Systems-Of-Systems Conceptual Model and Live Virtual Constructive Simulation Framework for Improved Nuclear Disaster Emergency Preparedness, Response, and Mitigation

Davis

Proctor

Shageer

2016

Journal of Homeland Security and Emergency Management

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Literature Review on Systems of Systems (SoS): A Methodology With Preliminary Results

Smith¹,

Ruth²

2013

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Approved for public release; distribution is unlimited.ii REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, SPONSOR/MONITOR'S ACRONYM(S) SPONSOR/MONITOR'S REPORT NUMBER(S) DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution is unlimited. SUPPLEMENTARY NOTES ABSTRACTThe modeling and analysis of large and complex systems is a rich and diverse field of study, and arguably the modeling and analysis of Systems of Systems (SoS) falls squarely within this field. Complex systems range from air traffic control and traffic systems, to urban environments and industry supply/inventory systems, as well as the complex systems manifested in military operational environments. Each complex system presents unique modeling and analysis challenges, and it is quite unlikely that one can address these challenges by one modeling tool or environment. Our motivation in authoring this report owes itself in part to the well-intentioned meaning of researchers who suggest their tool, or environment, as the tool by which the Survivability/ Lethality Analysis Directorate (SLAD) of the U.S. Army Research Laboratory (ARL) can meet its analytic needs for military systems of systems analysis (SoSA). Our goal is a rational basis by which, one can consider the recommendations of other researchers, without making what may be a considerable investment of time to study in depth the modeling tools and environments that they have developed. After reviewing the literature on SoS and SoSA-as well as literature more specific to the modeling and analysis-we developed a framework to measure the suitability of a particular modeling tool, or environment, to meet SLAD's need to conduct survivability, lethality, and vulnerability analyses (SLVA) of military SoS. This report documents our methodology and some initial applications. iii

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Modeling Information Operations in a Tactical-level Stabilization Environment

Cited by 2 publications

References 1 publication

A Systems-Of-Systems Conceptual Model and Live Virtual Constructive Simulation Framework for Improved Nuclear Disaster Emergency Preparedness, Response, and Mitigation

A Systems-Of-Systems Conceptual Model and Live Virtual Constructive Simulation Framework for Improved Nuclear Disaster Emergency Preparedness, Response, and Mitigation

Literature Review on Systems of Systems (SoS): A Methodology With Preliminary Results

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