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Intelligent Management of Data Driven Simulations to Support Model Building

机译:数据驱动仿真的智能管理,以支持模型构建

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Artificial intelligence (AI) can contribute to the management of a data driven simulation system, in particular with regard to adaptive selection of data and refinement of the model on which the simulation is based. We consider two different classes of intelligent agent that can control a data driven simulation: (a) an autonomous agent using internal simulation to test and refine a model of its environment and (b) an assistant agent managing a data-driven simulation to help humans understand a complex system (assisted model-building).
机译:人工智能(AI)可以有助于数据驱动的仿真系统的管理,特别是在数据的自适应选择和仿真所基于的模型的细化方面。我们考虑可以控制数据驱动的模拟的两种不同类型的智能代理:(a)使用内部模拟来测试和完善其环境模型的自治代理,以及(b)管理数据驱动的仿真以帮助人类的辅助代理了解复杂的系统(辅助模型构建)。

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