Data assimilation in dynamical cognitive science

Ralf Engbert; Maximilian M Rabe; Lisa Schwetlick; Stefan A Seelig; Sebastian Reich; Shravan Vasishth

doi:10.1016/j.tics.2021.11.006

Data assimilation in dynamical cognitive science

Trends Cogn Sci. 2022 Feb;26(2):99-102. doi: 10.1016/j.tics.2021.11.006. Epub 2021 Dec 28.

Authors

Ralf Engbert¹, Maximilian M Rabe², Lisa Schwetlick², Stefan A Seelig², Sebastian Reich³, Shravan Vasishth⁴

Affiliations

¹ Department of Psychology, University of Potsdam, Potsdam, Germany; Research Focus Cognitive Sciences, University of Potsdam, Potsdam, Germany. Electronic address: ralf.engbert@uni-potsdam.de.
² Department of Psychology, University of Potsdam, Potsdam, Germany.
³ Institute of Mathematics, University of Potsdam, Potsdam, Germany; Research Focus Cognitive Sciences, University of Potsdam, Potsdam, Germany.
⁴ Department of Linguistics, University of Potsdam, Potsdam, Germany; Research Focus Cognitive Sciences, University of Potsdam, Potsdam, Germany.

PMID: 34972646
DOI: 10.1016/j.tics.2021.11.006

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.

Keywords: data assimilation; dynamical cognitive models; sequential likelihood.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Bayes Theorem
Cognitive Science*
Humans
Models, Statistical*