Robert H. Kewley

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A novel neural network based technique, called "data strip mining" extracts predictive models from data sets which have a large number of potential inputs and comparatively few data points. This methodology uses neural network sensitivity analysis to determine which predictors are most significant in the problem. Neural network sensitivity analysis holds(More)
Systems of systems integration is a difficult engineering challenge that places a particular burden on the engineers who must develop simulation models to support that integration. Developing a large scale stand-alone model to support systems integration is a time-consuming process that is often not possible. An alternative approach is to leverage existing(More)
This paper specifies a systems engineering process for the development of federated simulation models in order to support systems-of-systems analysis. The specification borrows ideas from the systems engineering domain, the simulation interoperability domain, and the software engineering domain. It has activities on the operational level to define how the(More)
Semantic mismatch between systems is due, in part, to the grouping together of terms who have representations of meaning in different levels of granularity (from different perspectives), and which are composed together into distinct groupings by their own systems of origin. It has been proposed that by referencing these representations when decomposed into(More)
This paper proposes a systems engineering process utilizing the conceptual artifacts of the Model Driven Architecture (MDA) describing platform independent views of models to capture operational requirements, to derive essential tasks, and to combine these tasks into scenarios and vignettes with attributed metrics. This model-independent mission description(More)
Agent-based modeling is a framework that allows the analysis of distributed command-by-influence using mission-type orders known for over a century as Auftragstaktik in German Army manuals. A combat simulation with embedded decision agents analyzed this type of decentralized command and control. Local commanders relied on their improved situation awareness,(More)
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