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Here, we demonstrate a mapping of ACT\u2010R's declarative memory onto the linear ballistic accumulator (LBA), a mathematical model describing a competition between evidence accumulation processes. We show that this mapping provides a method for inferring individual ACT\u2010R parameters without requiring the modeler to build and fit an entire ACT\u2010R model. Existing parameter estimation methods for the LBA can be used, instead of the computationally expensive parameter sweeps that are traditionally done. We conduct a parameter recovery study to confirm that the LBA can recover ACT\u2010R parameters from simulated data. Then, as a proof of concept, we use the LBA to estimate ACT\u2010R parameters from an empirical dataset. The resulting parameter estimates provide a cognitively meaningful explanation for observed differences in behavior over time and between individuals. In addition, we find that the mapping between ACT\u2010R and LBA lends a more concrete interpretation to ACT\u2010R's latency factor parameter, namely as a measure of response caution. This work contributes to a growing movement towards integrating formal modeling approaches in cognitive\u00a0science.<\/jats:p>","DOI":"10.1111\/tops.12614","type":"journal-article","created":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T09:55:26Z","timestamp":1652090126000},"page":"889-903","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Capturing Dynamic Performance in a Cognitive Model: Estimating ACT\u2010R Memory Parameters With the Linear Ballistic Accumulator"],"prefix":"10.1111","volume":"14","author":[{"given":"Maarten","family":"van der Velde","sequence":"first","affiliation":[{"name":"Department of Experimental Psychology, Behavioural and Cognitive Neuroscience University of Groningen"}]},{"given":"Florian","family":"Sense","sequence":"additional","affiliation":[{"name":"Department of Experimental Psychology, Behavioural and Cognitive Neuroscience University of Groningen"}]},{"given":"Jelmer P.","family":"Borst","sequence":"additional","affiliation":[{"name":"Bernoulli Institute, Department of Artificial Intelligence University of Groningen"}]},{"given":"Leendert","family":"van Maanen","sequence":"additional","affiliation":[{"name":"Department of Experimental Psychology Utrecht University"}]},{"given":"Hedderik","family":"van Rijn","sequence":"additional","affiliation":[{"name":"Department of Experimental Psychology, Behavioural and Cognitive Neuroscience University of Groningen"}]}],"member":"311","published-online":{"date-parts":[[2022,5,9]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195324259.001.0001"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1006\/jmla.1997.2553"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.03.063"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogpsych.2007.12.002"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13414-011-0243-2"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.3758\/16.6.1026"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmp.2020.102416"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/03640210802473582"},{"key":"e_1_2_8_10_1","volume-title":"Modeling human behavior with integrated cognitive architectures: Comparison, evaluation, and validation","author":"Gluck K. 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