Implementing multiresolution models and families of models: from entity-level simulation to desktop stochastic models and "repro" models

Jimmie McEver; Paul K. Davis; James H. Bigelow

doi:10.1117/12.389372

23 June 2000 Implementing multiresolution models and families of models: from entity-level simulation to desktop stochastic models and "repro" models

Jimmie McEver, Paul K. Davis, James H. Bigelow

Author Affiliations +

Proceedings Volume 4026, Enabling Technology for Simulation Science IV; (2000) https://doi.org/10.1117/12.389372
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

We have developed and used families of multiresolution and multiple-perspective models (MRM and MRMPM), both in our substantive analytic work for the Department of Defense and to learn more about how such models can be designed and implemented. This paper is a brief case history of our experience with a particular family of models addressing the use of precision fires in interdicting and halting an invading army. Our models were implemented as closed-form analytic solutions, in spreadsheets, and in the more sophisticated Analytica^TM environment. We also drew on an entity-level simulation for data. The paper reviews the importance of certain key attributes of development environments (visual modeling, interactive languages, friendly use of array mathematics, facilities for experimental design and configuration control, statistical analysis tools, graphical visualization tools, interactive post-processing, and relational database tools). These can go a long way towards facilitating MRMPM work, but many of these attributes are not yet widely available (or available at all) in commercial model-development tools--especially for use with personal computers. We conclude with some lessons learned from our experience.

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Jimmie McEver, Paul K. Davis, and James H. Bigelow "Implementing multiresolution models and families of models: from entity-level simulation to desktop stochastic models and "repro" models", Proc. SPIE 4026, Enabling Technology for Simulation Science IV, (23 June 2000); https://doi.org/10.1117/12.389372

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