An Experiment in Simulation Coercion
Abstract
If simulations could be coerced -- literally reshaped -- to conform to requirements different from those for which they were originally designed, many of the challenges facing the simulation community should become less daunting. Success could foster reuse, enable linkages between multi-resolution models, and increase the chances of success for interoperability and composability. We consider coercing as it applies to multi-resolution modeling. Given two simulations of the same phenomenon at different levels of detail, we explore coercing the lower resolution simplified simulation to produce results that correspond satisfactorily with the detailed high resolution simulation. The product is a simulation possessing the speed of the low resolution simulation along with the desired accuracy of the high resolution simulation. Coercing involves a subject matter expert and optimization. The subject matter expert selects simulation parameters and establishes constraints within which those parameters are allowed to vary without compromising the validity of the simulation. Then, an optimization technique is employed to search through the possible parameter values and to select that set for which the simulation results most closely reflect the ideal; namely, conformance with new requirements stemming from the high resolution model. To explore the concept of coercing simulations, we selected a high resolution three-dimensional bicyclist simulation and a simple simulation of a particle moving in two-dimensional space as the low resolution simulation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2003
- Accession Number
- ADA455190
Entities
People
- David C. Brogan
- Joseph C. Carnahan
- Paul F. Reynolds Jr.
Organizations
- University of Virginia