Gary E. Horne

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The United States Marine Corps Combat Development Command and the New Zealand Defence Operational Support Establishment have begun collaborative work in the area of Operational Synthesis. In this paper we describe the research program initiated in the US called Project Albert which uses the process of Operational Synthesis. We then provide details on some(More)
The development of models and analysis of modeling results usually requires that models be run many times. Very few modelers are satisfied with the computing resources available to do sensitivity studies, validation and verification, measurement of effectiveness analysis, and related necessary activities. Fortunately, <i>high performance computing</i>, in(More)
Data Farming combines the rapid prototyping capability inherent in certain simulation models with the exploratory power of high performance computing to rapidly generate insight into questions. The Data Farming process focuses on a more complete landscape of possible system responses, rather than attempting to pinpoint an answer. Data Farming allows(More)
Network Centric Operations are difficult to quantify in many respects with models or other methods. Data Farming is a methodology and capability that makes use of high performance computing to run models many times. In the case of agent-based models that are relatively small, many runs can be performed in a short period of time. This capability gives(More)
When should we engage the enemy directly and when should we maneuver? Of course, the answer depends on the circumstances and the simulations presented here are simply illustrative. The purpose here is to describe one aspect of an on-going Marine Corps research program called Project Albert. This aspect is our attempt to capture, i.e. distill, the essence of(More)
Project Albert is a modeling and simulation initiative of the United States marine corps that combines the rapid prototyping of agent-based distillations with the exploratory power of data farming to rapidly generate insight into military questions (Fry 2002). Data farming focuses on the complete landscape of possible system responses, rather than(More)
<i>Data Farming</i> is a process that has been developed to support decision-makers by answering questions that are not currently addressed. It uses an inter-disciplinary approach that includes modeling and simulation, high performance computing and statistical analysis to examine questions of interest with large number of alternatives. Data Farming allows(More)
Data farming combines the rapid prototyping capability of certain simulation models with the exploratory power of high performance computing to rapidly generate insight into questions. The aim is to develop a better understanding of landscapes of possibilities as well as outliers that may be discovered through simulation experiments. In this paper we will(More)
The reduction in life-cycle costs for Naval vessels is critical for operating a cost efficient and robust Navy. Computer based simulations are an effective tool for human system integration optimization, as well as for studying the risks associated with complex interaction between crew and systems. The proposed modular simulation environment empowers(More)
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced ability to discover trends and outlier in results, do sensitivity studies, verify and validate over extended ranges of input parameters, and consider modeling and analyzing(More)