Abstract
In the previous chapter, simulation was introduced as an approach where computer models of real-world systems are applied to facilitate analyzing, planning, and optimizing of these system. This thesis aims at integrating research hypotheses into the process of simulation studies, to assist the identification, design, execution, and evaluation of important experiments to prove or disprove such hypotheses. Especially in models with a large number of inputs, the resulting degrees of freedom require an extensive number of similar experiments.
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© 2019 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
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Lorig, F. (2019). Assistance and Automation of Simulation. In: Hypothesis-Driven Simulation Studies. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-27588-4_3
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DOI: https://doi.org/10.1007/978-3-658-27588-4_3
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Online ISBN: 978-3-658-27588-4
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