This document discusses modeling driver behavior using a cognitive architecture. It describes how ACT-R can be used to model things like visual attention, production rules, and the interplay between perception and motor control that underlie driving. The document also notes future areas of research like modeling tasks in more realistic environments, improving the fidelity of target modeling, and integrating learning and memory models.