title: RACE/A: an architectural account of the interactions between learning, task control, and retrieval dynamics.
abstract: This article discusses how sequential sampling models can be integrated in a cognitive architecture. The new theory Retrieval by Accumulating Evidence in an Architecture (RACE/A) combines the level of detail typically provided by sequential sampling models with the level of task complexity typically provided by cognitive architectures. We will use RACE/A to model data from two variants of a picture-word interference task in a psychological refractory period design. These models will demonstrate how RACE/A enables interactions between sequential sampling and long-term declarative learning, and between sequential sampling and task control. In a traditional sequential sampling model, the onset of the process within the task is unclear, as is the number of sampling processes. RACE/A provides a theoretical basis for estimating the onset of sequential sampling processes during task execution and allows for easy modeling of multiple sequential sampling processes within a task.
authors.affiliation: Cognitive Science Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands. l.vanmaanen@uva.nl
authors.forename: Leendert
authors.initials: L
authors.lastname: van Maanen
authors.forename: Hedderik
authors.initials: H
authors.lastname: van Rijn
authors.forename: Niels
authors.initials: N
authors.lastname: Taatgen
mesh_terms: D003071:Cognition; D005260:Female; D006801:Humans; D007858:Learning; D008297:Male; D008960:Models, Psychological; D055815:Young Adult