Schelling-type agent-based models to study competition between individual and collective behaviour

This work aims to describe how the behaviour of an agent-based system changes while the will to act collectively of its components is tuned. The main result of this work is the computational verification of the theoretical phase diagrams present in the literature and a first step in the direction of the main theoretical model’s generalization. The framework in which this work is set is socio-physics: the model which has been used as the reference agent-based model throughout our analysis is a Schelling-inspired model for the problem of urban residential segregation. The analysis we performed includes the definition of a useful order parameter for the segregation/crowding problem and the construction of an algorithm which simulates the behaviour of such a system. A possible application to economics and a more general discussion on the topic will be given at the end of the report.