As the agents’ decisions are constrained by the available information and cognitive processes of the mind, we need to forecast agents’ responses also under conditions of bounded rationality. Therefore our team will firstly develop a novel approach that combines microeconomic mathematical programming models with behavioral economic methods to forecast these decisions by agents.
Secondly, the team will identify relevant spatial trends in human systems emerging at the local to global level, and how they affect and are affected by the choices of individual agents via two-way feedback loops. To this end, we will interconnect the models of individual behavior developed in the first phase with Agent Based Spatial Models.