The Faculty of Social Sciences, University of Tehran Journal of Social Problems of Iran 2008-8973 15 2 2025 03 19 Agent-Based Simulation of the Effect of Generosity Behavior Variable on Wealth Distribution in Urban Fabric Agent-Based Simulation of the Effect of Generosity Behavior Variable on Wealth Distribution in Urban Fabric 177 195 102088 10.22059/ijsp.2025.380082.671250 FA Vahid Abedini Ph.D. student in Economics, University of Tehran, Iran Ghahraman Abdoli Professor of Applied Economics, University of Tehran Journal Article 2024 07 29 An agent-based model is a computational model used in social sciences and economics to simulate the behavior of individual agents (such as households, companies, or governments) and how their interactions with each other and the environment affect the overall system outcomes. Agent-based models are designed to capture the complexity of real-world social systems by simulating the behavior of numerous agents. Each agent follows specific decision-making rules and strategies and often incorporates learning and adaptation mechanisms. In this study, based on an agent-based model, the impact of generosity on wealth distribution is simulated using the NetLogo software. Through these simulations, various indicators such as the number of poor individuals in society, the Gini coefficient, the percentage of satisfaction with living conditions, and the distribution of the urban fabric were compared. The results clearly show that systems incorporating generosity significantly reduce poverty and inequality. Findings indicate that generosity can promote equity, facilitate fair distribution of income and wealth, and decrease the Gini coefficient. <br />Moreover, the model demonstrates that if a community exhibits greater empathy and prioritizes altruistic values when choosing their living environment, a more homogeneous urban fabric and society will emerge, leading to reduced class disparities in urban areas. An agent-based model is a computational model used in social sciences and economics to simulate the behavior of individual agents (such as households, companies, or governments) and how their interactions with each other and the environment affect the overall system outcomes. Agent-based models are designed to capture the complexity of real-world social systems by simulating the behavior of numerous agents. Each agent follows specific decision-making rules and strategies and often incorporates learning and adaptation mechanisms. In this study, based on an agent-based model, the impact of generosity on wealth distribution is simulated using the NetLogo software. Through these simulations, various indicators such as the number of poor individuals in society, the Gini coefficient, the percentage of satisfaction with living conditions, and the distribution of the urban fabric were compared. The results clearly show that systems incorporating generosity significantly reduce poverty and inequality. Findings indicate that generosity can promote equity, facilitate fair distribution of income and wealth, and decrease the Gini coefficient. <br />Moreover, the model demonstrates that if a community exhibits greater empathy and prioritizes altruistic values when choosing their living environment, a more homogeneous urban fabric and society will emerge, leading to reduced class disparities in urban areas. https://ijsp.ut.ac.ir/article_102088_516ca8faf7448d11488d6402a37ea1dc.pdf