We describe a computational model of task switching developed within the ARCADIA framework. This model emphasizes the attentional component of task sets and the locality of processing for task selection, stimulus--response rules, and motion planning. We contrast the structure and processing of the model to one developed in ACT-R and illustrate its dynamics on one trial from a task switching experiment. We conclude by discussing the broader implications of the model for cognitive modeling and cognitive systems research.
