Hybrid Agent-Based Market Simulation

This project implements a high-fidelity Agent-Based Model (ABM) that simulates complex market dynamics. It utilizes a unique hybrid architecture, combining the Mesa framework for simulation management with aiomas for asynchronous, RPC-based agent communication. The model features heterogeneous consumer behaviors (Impulsive, Rational, and Budget-constrained) and dynamic sellers who adjust prices based on real-time demand and investment success. The simulation includes automated stability detection and a professional-grade visualization suite to analyze price convergence, wealth distribution, and market efficiency.