Multi-agent models of spatial cognition, learning and complex choice behavior in urban environments

This chapter provides an overview of ongoing research projects in the DDSS research program at TUE related to multi-agents. Projects include (a) the use of multi-agent models and concepts of artificial intelligence to develop models of activity-travel behavior; (b) the use of a multi-agent model to simulate pedestrian movement in urban environments; (c) the use of multi-agent models for simulating the dynamics of land development; (d) the use of multi-agent models to simulate learning and adaptation behavior in non-stationary urban environments and under conditions of uncertainty and information search and (e) the development of computational models linking cognition, choice set formation, activity travel behavior and land use dynamics. The scope, theoretical underpinnings and results of numerical and empirical simulations are presented.