This chapter contrasts traditional economic theories with complexity economics, highlighting their limitations in predicting real-world behavior. It emphasizes the necessity for more nuanced models that incorporate human decision-making and the intricacies of markets, particularly in contexts like the housing market. By using agent-based modeling and simulations, the chapter showcases how these approaches can lead to better understanding and forecasting of economic phenomena.