Athena-Maria Kalamaras
Faculty Sponsor: Economics Department (ECO 316)In the context of dynamic spatial models, we considered agent-based decision-making processes. This project creates agents that realize an autonomous decision-making process, including inputs like income and information about the surroundings to produce clear outputs like spending and relocating. The agents are given a decision-making mechanism that resembles a cost-benefit analysis, in order to evaluate their options and optimize their relocation strategy. The agents keep moving until no better position is available. The results of the agents’ decision making are then portrayed through various maps, including money maps, optimization maps, status maps and identity maps.
