Effects of reward distribution strategies and perseverance profiles on agent-based coalitions dynamics


  • Luís Gustavo Ludescher Escola Politécnica da Universidade de São Paulo
  • Jaime Simão Sichman Escola Politécnica da Universidade de São Paulo




Agent-based simulation, Coalitions, Public welfare, Inequality


In a conventional political system, leaders decide how to distribute benefits to the population and coalitions can emerge when other individuals support the candidates. This work intends to analyze how different leader strategies and individual profiles affect the way coalitions are formed and rewards are shared. Using agent-based simulation, we simulated a model in which individuals of three different perseverance profiles (patient, intermediate and impatient) eventually decide to be part of coalitions by supporting certain leaders when aiming to maximize their own earnings. Leaders can follow one of three different strategies to share rewards: altruistic, intermediate and egoistic. The results show that egoistic leaders stimulate the competition for rewards and the formation of coalitions, causing greater inequalities, while impatient individuals also promote more instability and lead to a higher concentration of rewards.


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How to Cite

Ludescher, L. G., & Sichman, J. S. (2020). Effects of reward distribution strategies and perseverance profiles on agent-based coalitions dynamics. Revista De Informática Teórica E Aplicada, 27(2), 96–106. https://doi.org/10.22456/2175-2745.94845



Selected Papers - WESAAC 2019