“…1 This model was developed within the general cognitive architecture, Adaptive Control of Thought-Rational (ACT-R, Anderson et al 2004). Cuebased retrieval models can explain interference effects (Dillon et al, 2013;Jäger, Engelmann, & Vasishth, 2015;Kush & Phillips, 2014;Nicenboim, Logačev, Gattei, & Vasishth, 2016;Nicenboim, Vasishth, Engelmann, & Suckow, 2018;Parker & Phillips, 2016Patil, Vasishth, & Lewis, 2016;Vasishth, Bruessow, Lewis, & Drenhaus, 2008), but they have also been invoked in connection with a range of other issues in sentence processing: the interaction between predictive processing and memory (Boston, Hale, Vasishth, & Kliegl, 2011), impairments in individuals with aphasia (Mätzig, Vasishth, Engelmann, Caplan, & Burchert, 2018;Patil, Hanne, Burchert, Bleser, & Vasishth, 2016), the interaction between oculomotor control and sentence comprehension (Dotlačil, 2018;Engelmann, Vasishth, Engbert, & Kliegl, 2013), the processing of ellipsis (Martin & McElree, 2009;Parker, 2018), the effect of working memory capacity differences on underspecification and "good-enough" processing (Engelmann, 2016;von der Malsburg & Vasishth, 2013), and the interaction between discourse/semantic processes and cognition (Brasoveanu & Dotlačil, 2019). The source code of the model used in this paper is available from https://github.com/felixengelmann/inter-act; and quantitative predictions can be derived graphically using the Shiny App available from https://engelmann.shinyapps.io/inter-act/.…”