Proceedings of the 2006 Winter Simulation

Dynamic data-driven application systems (DDDAS) integrate computer simulations with experimental observations to study phenomena with greater speed and accuracy than could be achieved by either experimentation or simulation alone. One of the key challenges behind DDDAS is automatically adapting simulations when experimental data indicates that a simulation must change. Coercion is a semi-automated simulation adaptation approach that can be automated further if elements of the simulation called flexible points are described in advance. In this paper, we use a number of DDDAS adaptation examples to identify the information that needs to be captured about flexible points in order to support coercion.