Generative agents are computational models replicating human behavior and attitudes across diverse contexts. These models aim to simulate individual responses to various stimuli, making them invaluable tools for exploring human interactions and testing hypotheses in sociology, psychology, and political science. By integrating artificial intelligence, these agents offer novel opportunities to enhance understanding of social phenomena and refine policy interventions through controlled, scalable simulations. The challenge this research addresses lies in the limitations of traditional models for simulating human behavior. Existing approaches often rely on static or demographic-based attributes, which oversimplify the complexity of human decision-making and fail to account for