This project implements a Metropolis-Monte Carlo simulation to model opinion dynamics on a 2D lattice grid, where binary-state agents evolve through neighbor influence and probabilistic noise. The system computes phase transitions by analyzing consensus formation, susceptibility metrics, and stationary behavior across varying grid sizes and flip probabilities.

Built for the Simulation Systems course at Buenos Aires Institute of Technology (ITBA).