Artificial Intelligence
Consistency maintenance in multiresolution simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Visualizing coercible simulations
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation-specific characteristics and software reuse
WSC '05 Proceedings of the 37th conference on Winter simulation
Semi-automated simulation transformation for DDDAS
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
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One of the intended consequences of utilizing simulations in dynamic, data-driven application systems is that the simulations will adjust to new data as it arrives. These adjustments will be difficult because of the unpredictable nature of the world and because simulations are so carefully tuned to model specific operating conditions. Accommodating new data may require adapting or replacing numerical methods, simulation parameters, or the analytical scientific models from which the simulation is derived. In this research, we emphasize the important role a scientist’s insight can play in facilitating the runtime adaptation of a simulation to accurately utilize new data. We present the tools that serve to capture and apply a scientist’s insight about opportunities for, and limitations of, simulation adaptation. Additionaly, we report on the two ongoing collaborations that serve to guide and evaluate our research.