Data assimilation in dynamical cognitive science. Issue 2 (February 2022)

• Record Type: Journal Article
• Authors: Engbert, Ralf; Rabe, Maximilian M.; Schwetlick, Lisa; Seelig, Stefan A.; Reich, Sebastian; Vasishth, Shravan
• Is Part Of: Trends in cognitive sciences. Volume 26:Issue 2(2022)
• Page Start: 99
• Page End: 102
• Publication Date: 2022-02
• Subjects: data assimilation -- dynamical cognitive models -- sequential likelihood; Cognitive science -- Periodicals; Cognitive neuroscience -- Periodicals; 153.05
• DOI: 10.1016/j.tics.2021.11.006
• Languages: English
• ISSNs: 1364-6613

Abstract

Abstract : 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.