米勒参观了一家德州天然气公司，该公司成功地应用了基于蚁群行为的公式来“优化其工厂和卡车的路线”。

Miller visited a Texas gas company that has successfully applied formulas based on ant colony behaviour to "optimise its factories and route its trucks".

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设想在街对面住着一群行为古怪的邻居们。

IMAGINE your awkward neighbours across the street.

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时间知识的推理和验证技术对列车群行为建模分析具有重要意义，是其实施关键。

Reasoning and validating of temporal knowledge are very important in modeling and analyzing operations of a train group, and are the key technology of its implementation.

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