2014
MAS 2014 Proceeding
A systems theoretical perspective on data-driven modeling and simulation
Authors: Yilin Huang, Mamadou Seck, Alexander Verbraeck
Abstract
This paper discusses Data-Driven Modeling and Simulation (DDM&S) from a systems theoretical viewpoint. The focus is on understanding Systems Theory in relation with Modeling and Simulation (M&S) and how data may convey information about a system. Such an understanding could help formalizing the transformation process from data to systems knowledge and in turn offers a possibility to automate the process. In DDM&S, a simulation environment should have the ability to correctly interpret the data provided, extract useful information and automatically incorporate it into the simulation model so that changes in data may change the model. This flexibility could be achieved by representing the system not as a monolithic whole but as a composition of interrelated parts, and by the support of intelligent data analysis and model transformation algorithms. An example of automatic model generation is given to illustrate the concept.
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