Agent-Based Modelling of Cooperative and Competitive Behaviours in a Multi-Agent System with Stochastic Payoffs

Authors

  • Mohammad Gheibi Association of Talent under Liberty in Technology, Tallinn, Estonia
  • Reza Moezzi Association of Talent under Liberty in Technology, Tallinn, Estonia
  • Reza Haririyan Javan Quanta Research Group
  • Shahin Javadi Nezhad Quanta Research Group
  • Keyvan Salehi Faculty of Psychology and Education, University of Tehran, Tehran, Iran

DOI:

https://doi.org/10.15157/QR.2023.1.1.13-19

Keywords:

Agent-based modelling, Game theory, Cooperation, Competition, Payoff dynamics

Abstract

This study presents a simulation of a social dilemma game, where a group of ten agents repeatedly decide whether to cooperate or compete. The game parameters include the number of agents, the number of iterations, and the probabilities of cooperation and competition. The initial payoffs are randomly assigned to each agent. The simulation calculates the payoffs for each agent based on their own behaviour and the behaviour of others in the same round. The results show the payoffs and behaviours of each agent over time, revealing how individual behaviour and group dynamics evolve in the social dilemma game. This simulation can be used to study cooperation and competition in various social contexts and to explore strategies for promoting cooperation.

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Published

2023-02-28

How to Cite

Gheibi, M., Moezzi, R., Haririyan Javan, R., Javadi Nezhad, S., & Salehi, K. (2023). Agent-Based Modelling of Cooperative and Competitive Behaviours in a Multi-Agent System with Stochastic Payoffs. Quanta Research, 1(1), 13–19. https://doi.org/10.15157/QR.2023.1.1.13-19