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Modelling prejudice and its effect on societal prosperity

Author

Listed:
  • Deep Inder Mohan
  • Arjun Verma
  • Shrisha Rao

Abstract

Existing studies of the multi-group dynamics of prejudiced societies focus on the social-psychological knowledge behind the relevant processes. We instead create a multi-agent framework that simulates the propagation of prejudice and measures its tangible impact on prosperity. Levels of prosperity are tracked for individuals as well as larger social structures including groups and factions. We model social interactions using the Continuous Prisoner's Dilemma (CPD) and a new agent type called a prejudiced agent. Our simulations show that even modeling prejudice as an exclusively out-group phenomenon nonetheless generates implicit in-group promotion, leading to higher relative prosperity of a prejudiced population. This skew in prosperity is seen to be correlated to factors such as size difference between groups, and the fraction of prejudiced agents in a group. Our model is a step towards a deeper understanding of the origins, propagation, and ramifications of prejudice through simulative studies grounded in apt theoretical backgrounds.

Suggested Citation

  • Deep Inder Mohan & Arjun Verma & Shrisha Rao, 2023. "Modelling prejudice and its effect on societal prosperity," Journal of Simulation, Taylor & Francis Journals, vol. 17(6), pages 647-657, November.
  • Handle: RePEc:taf:tjsmxx:v:17:y:2023:i:6:p:647-657
    DOI: 10.1080/17477778.2022.2039570
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