This article presents dynamic data driven simulation as a new simulation paradigm where a simulation system is continually influenced by real time data for better analysis and prediction of a system under study. This is different from traditional simulations that are largely decoupled from real systems by making little usage of real time data. We present a framework of dynamic data driven simulation based on sequential Monte Carlo methods, describe the opportunities and challenges associated with dynamic data driven simulation, and show an illustrative example. 1
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