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- W2289541289 abstract "In this paper, we develop a stochastic process tool to tell the stories behind big data with agent-based models. Specifically, we identify an agent-based model as a stochastic process that generates the big data, and make inferences by solving the agent-based model under the constraint of the data. We hope to use this tool to create a bridge between those who have access to big data and those who use agent-based simulators to convey their insight about these data." @default.
- W2289541289 created "2016-06-24" @default.
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- W2289541289 date "2015-12-06" @default.
- W2289541289 modified "2023-09-23" @default.
- W2289541289 title "Weaving multi-agent modeling and big data for stochastic process inference" @default.
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- W2289541289 doi "https://doi.org/10.5555/2888619.2888700" @default.
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