Abstract
Modelling and simulation approaches are applied in a variety of scientific disciplines for analysing, planning, and optimising complex systems or phenomena. Simulation is not limited to applications related to computer science or information systems research [2] and has also become an accepted method, for example, in social sciences and medicine. But also for solving practical problems, e.g., in manufacturing, logistics, or engineering, the use of simulation is increasingly common. Due to its popularity and versatility, simulation is even referred to as a third pillar of science between theory and experiment [1].
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Acknowledgements
We would like to acknowledge the members of the ASSOCC team for their valuable contributions to this chapter. The authors wish to thank Loïs Vanhée for having developed the simulation and part of analysis based on which the results of this chapter are established. This research was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) and WASP—Humanities and Society (WASP-HS) funded by the Knut and Alice Wallenberg Foundation. The simulations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Umeå partially funded by the Swedish Research Council through grant agreement no. 2018-05973. This research was conducted using the resources of High Performance Computing Center North (HPC2N).
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Lorig, F., Jensen, M., Kammler, C., Davidsson, P., Verhagen, H. (2021). Comparative Validation of Simulation Models for the COVID-19 Crisis. In: Dignum, F. (eds) Social Simulation for a Crisis. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-76397-8_12
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