Proceedings of the Annual Meeting of the Cognitive Science Society

In this paper, we present a lineage of models that is used to identify the additional knowledge required to perform two tasks concurrently at an expert level. The underlying architecture used for this modeling is EPIC-Soar, a combination of the sensory and motor modules of EPIC, and the cognitive processing of Soar Within EPIC-Soar, we build models for the Wickens' task, a combination of tracking and choice-reaction time tasks. A key product of the models is an identification of the knowledge required to combine these two tasks: the executive process knowledge. We also demonstrate that it is possible to learn some of this knowledge through experience. We achieve performance comparable, in terms of error-rates and reaction times, to human data and an EPIC model.