In this chapter we show how qualitative representations can be applied for the formalization of agent behavior. First, we give an introduction to several aspects of space relevant for agent motion and agent control, especially orientation, location, and distance. Based on these preliminaries we explain which characteristics a qualitative spatial representation and its operations, called qualitative calculus, should have so that the knowledge can be manipulated in an adequate manner. Afterwards, we present the two main categories of reasoning with qualitative calculi: constraint-based reasoning and neighborhood-based reasoning, action-augmented neighborhood respectively. Exemplary, we sketch how this structure can be utilized for representing agent behavior. Additionally, we apply the approaches to agent control in the context of right-of-way rules in sea navigation.