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.