Dynamical models make specific assumptions about cognitive processes that generate human behavior. In data assimilation, these models are tested against time-ordered data. Recent progress on Bayesian data assimilation demonstrates that this approach combines the strengths of statistical modeling of individual differences with the those of dynamical cognitive models.

中文翻译：

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动态认知科学中的数据同化

动态模型对产生人类行为的认知过程做出特定假设。在数据同化中，这些模型根据时间顺序数据进行测试。贝叶斯数据同化的最新进展表明，这种方法结合了个体差异统计建模的优势和动态认知模型的优势。