Decision trees allow the modeling of event-dependent reasoning, but do not consider the dynamics of contextual changes in reasoning. In the framework of the SART project, which aims at the design and development of an intelligent support system for subway regulators, we have to model highly contextual reasoning. We introduce the notion of contextual graph to take into account temporal and context-based reasoning. This model relies on observed reasoning modes in which the context and its dynamics are essential.