Data assimilation in dynamical cognitive science

Dynamical models make specific assumptions about cognitive processes that generate human behavior. In data assimilation, these models are tested against timeordered 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.

Automated summary

Dynamical cognitive models make assumptions about cognitive processes that generate human behavior, and these models are tested against time-ordered data using data assimilation. Recent progress in Bayesian data assimilation shows the combination of statistical modeling of individual differences and dynamical cognitive models.