Data assimilation in dynamical cognitive science

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Data assimilation in dynamical cognitive science. / Engbert, Ralf; Rabe, Maximilian M.; Schwetlick, Lisa; Seelig, Stefan A.; Reich, Sebastian; Vasishth, Shravan.

I: Trends in Cognitive Sciences, Bind 26, Nr. 2, 02.2022, s. 99-102.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Engbert, R, Rabe, MM, Schwetlick, L, Seelig, SA, Reich, S & Vasishth, S 2022, 'Data assimilation in dynamical cognitive science', Trends in Cognitive Sciences, bind 26, nr. 2, s. 99-102. https://doi.org/10.1016/j.tics.2021.11.006

APA

Engbert, R., Rabe, M. M., Schwetlick, L., Seelig, S. A., Reich, S., & Vasishth, S. (2022). Data assimilation in dynamical cognitive science. Trends in Cognitive Sciences, 26(2), 99-102. https://doi.org/10.1016/j.tics.2021.11.006

Vancouver

Engbert R, Rabe MM, Schwetlick L, Seelig SA, Reich S, Vasishth S. Data assimilation in dynamical cognitive science. Trends in Cognitive Sciences. 2022 feb.;26(2):99-102. https://doi.org/10.1016/j.tics.2021.11.006

Author

Engbert, Ralf ; Rabe, Maximilian M. ; Schwetlick, Lisa ; Seelig, Stefan A. ; Reich, Sebastian ; Vasishth, Shravan. / Data assimilation in dynamical cognitive science. I: Trends in Cognitive Sciences. 2022 ; Bind 26, Nr. 2. s. 99-102.

Bibtex

@article{c3373a21dcf844689ed6001d0926fa32,
title = "Data assimilation in dynamical cognitive science",
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",
author = "Ralf Engbert and Rabe, {Maximilian M.} and Lisa Schwetlick and Seelig, {Stefan A.} and Sebastian Reich and Shravan Vasishth",
note = "Funding Information: This work was supported by Deutsche Forschungsgemeinschaft (DFG) via Collaborative Research Centers SFB 1294 , Project-ID 318763901 , and SFB 1287 , Project-ID 317633480 . Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2022",
month = feb,
doi = "10.1016/j.tics.2021.11.006",
language = "English",
volume = "26",
pages = "99--102",
journal = "Trends in Cognitive Sciences",
issn = "1364-6613",
publisher = "Elsevier Ltd. * Trends Journals",
number = "2",

}

RIS

TY - JOUR

T1 - Data assimilation in dynamical cognitive science

AU - Engbert, Ralf

AU - Rabe, Maximilian M.

AU - Schwetlick, Lisa

AU - Seelig, Stefan A.

AU - Reich, Sebastian

AU - Vasishth, Shravan

N1 - Funding Information: This work was supported by Deutsche Forschungsgemeinschaft (DFG) via Collaborative Research Centers SFB 1294 , Project-ID 318763901 , and SFB 1287 , Project-ID 317633480 . Publisher Copyright: © 2021 Elsevier Ltd

PY - 2022/2

Y1 - 2022/2

N2 - 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.

AB - 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.

KW - data assimilation

KW - dynamical cognitive models

KW - sequential likelihood

UR - http://www.scopus.com/inward/record.url?scp=85122132751&partnerID=8YFLogxK

U2 - 10.1016/j.tics.2021.11.006

DO - 10.1016/j.tics.2021.11.006

M3 - Journal article

C2 - 34972646

AN - SCOPUS:85122132751

VL - 26

SP - 99

EP - 102

JO - Trends in Cognitive Sciences

JF - Trends in Cognitive Sciences

SN - 1364-6613

IS - 2

ER -

ID: 389895029