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Data Management in Multi-Agent Simulation Systems
2021
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
doi:10.18420/btw2021-22
fatcat:xtnqsugqhfgwpoly5ldawpuyjm