Agent-based modeling of cognitive learning of dynamic activity-travel patterns

The overall goal of this study is to have a better understanding of how an individual’s spatial cognition and mental representation of urban networks develop over time and to explore the impacts of landmarks on spatial learning. In this paper, the main objective is to describe the key mechanisms of an agent-based model of cognitive learning and to present the results of the numerical simulations designed to test the face validity of the part of the model concerned with attribute learning