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Coexistence Of Social Norms Based On In- And Out-Group Interactions

Author

Listed:
  • THOMAS FENT

    (Chair of Systems Design, ETH Zurich, Kreuzplatz 5, 8032 Zurich, Switzerland)

  • PATRICK GROEBER

    (Chair of Systems Design, ETH Zurich, Kreuzplatz 5, 8032 Zurich, Switzerland)

  • FRANK SCHWEITZER

    (Chair of Systems Design, ETH Zurich, Kreuzplatz 5, 8032 Zurich, Switzerland)

Abstract

The question how social norms can emerge from microscopic interactions between individuals is a key problem in social sciences to explain collective behavior. In this paper, we propose an agent-based model to show that randomly distributed social behavior by way of local interaction converges to a state with a multimodal distribution of behavior. This can be interpreted as a coexistence of different social norms, a result that goes beyond previous investigations. The model is discrete in time and space, behavior is characterized in a continuous state space. The adaptation of social behavior by each agent is based on attractive and repulsive forces caused by friendly and adversary relations among agents. The model is analyzed both analytically and by means of spatio-temporal computer simulations. It provides conditions under which we find convergence towards a single norm, coexistence of two opposing norms, and coexistence of a multitude of norms. For the latter case, we also show the evolution of the spatio-temporal distribution of behavior.

Suggested Citation

  • Thomas Fent & Patrick Groeber & Frank Schweitzer, 2007. "Coexistence Of Social Norms Based On In- And Out-Group Interactions," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 271-286.
    • Handle: RePEc:wsi:acsxxx:v:10:y:2007:i:02:n:s0219525907000970
    DOI: 10.1142/S0219525907000970
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    References listed on IDEAS

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    1. Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), 2006. "Agent-Based Computational Modelling," Contributions to Economics, Springer, number 978-3-7908-1721-8.
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    Cited by:

    1. Andreas Flache, 2018. "About Renegades And Outgroup Haters: Modeling The Link Between Social Influence And Intergroup Attitudes," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-32, September.
    2. Belinda Diaz & Thomas Fent & Alexia Prskawetz & Laura Bernardi, 2011. "Transition to Parenthood: The Role of Social Interaction and Endogenous Networks," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 559-579, May.
    3. Dirk Helbing & Anders Johansson, 2010. "Cooperation, Norms, and Revolutions: A Unified Game-Theoretical Approach," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-15, October.
    4. Patrick Groeber & Frank Schweitzer & Kerstin Press, 2009. "How Groups Can Foster Consensus: The Case of Local Cultures," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-4.
    5. Áron Székely & Luis G. Nardin & Giulia Andrighetto, 2018. "Countering Protection Rackets Using Legal and Social Approaches: An Agent-Based Test," Complexity, Hindawi, vol. 2018, pages 1-16, December.
    6. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Qiu, Tian & Shi, Yong-Dong & Zhong, Chen-Yang, 2015. "Coupled effects of local movement and global interaction on contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 482-491.

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