Gary E. Horne

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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)
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 ongoing Marine Corps research program called Project Albert. This aspect is our attempt to capture, i.e. distill, the essence of(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)
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)
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)
Data Farming, network applications and approaches to integrate network analysis and processes to the data farming paradigm are presented as approaches to address complex system questions. Data Farming is a quantified approach that examines questions in large possibility spaces using modeling and simulation. It evaluates whole landscapes of outcomes to draw(More)
Data Farming is a process that has been developed to support decision-makers by answering questions that are not currently addressed. Data farming uses an inter-disciplinary approach that includes modeling and simulation, high performance computing, and statistical analysis to examine questions of interest with a large number of alternatives. Data farming(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)