Context, Composition, Automation, and Communication -- The C2AC Roadmap for Modeling and Simulation
Abstract
Simulation has become, in many application areas, a sine-qua-non. Most recently, COVID-19 has underlined the importance of simulation studies and limitations in current practices and methods. We identify four goals of methodological work for addressing these limitations. The first is to provide better support for capturing, representing, and evaluating the context of simulation studies, including research questions, assumptions, requirements, and activities contributing to a simulation study. In addition, the composition of simulation models and other simulation studies' products must be supported beyond syntactical coherence, including aspects of semantics and purpose, enabling their effective reuse. A higher degree of automating simulation studies will contribute to more systematic, standardized simulation studies and their efficiency. Finally, it is essential to invest increased effort into effectively communicating results and the processes involved in simulation studies to enable their use in research and decision-making. These goals are not pursued independently of each other, but they will benefit from and sometimes even rely on advances in other subfields. In the present paper, we explore the basis and interdependencies evident in current research and practice and delineate future research directions based on these considerations.
Authors 12
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Affiliation as printed
University of Rostock , Germany,
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Affiliation as printed
Cornell University , USA,
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Affiliation as printed
Malmö University , Sweden ,
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Affiliation as printed
University of Trieste , Ital ,
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Affiliation as printed
Carleton University , Canada ,
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Bernhard Rumpe⋆ Aachen
Affiliation as printed
RWTH Aachen , Germany,
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Affiliation as printed
University of Adelaide , Australia ,
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Affiliation as printed
Carleton University , Canada ,
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Affiliation as printed
l University of Rostock , Germany,
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