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Abstract
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.
The research leading to these results received funding from the European Research Council under the European Community's Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement n° 230517 (U4IA project).
The views and opinions expressed in this publication represent those of the authors only. The ERC and European Community are not liable for any use that may be made of the information in this publication.
Notes
This paper is part of a special issue on Agent-based Microsimulation Techniques