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Data Management in Multi-Agent Simulation Systems

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2021

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Gesellschaft für Informatik, Bonn

Zusammenfassung

Multi-agent simulations are an upcoming trend to deal with the urgent need to predict complex situations as they arise in many real-life areas, such as disaster or traffic management. Such simulations require large amounts of heterogeneous data ranging from spatio-temporal to standard object properties. This and the increasing demand for large scale and real-time simulations pose many challenges for data management. In this paper, we present the architecture of a typical agent-based simulation system, describe several data management challenges that arise in such a data ecosystem, and discuss their current solutions within our multi-agent simulation system MARS.

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Glake, Daniel; Panse, Fabian; Ritter, Norbert; Clemen, Thomas; Lenfers, Ulfia (2021): Data Management in Multi-Agent Simulation Systems. BTW 2021. DOI: 10.18420/btw2021-22. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-705-0. pp. 423-436. (Industrial) Use Cases & Applications. Dresden. 13.-17. September 2021

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