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Towards a computational model of social norms

Author

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  • Ladislau Bölöni
  • Taranjeet Singh Bhatia
  • Saad Ahmad Khan
  • Jonathan Streater
  • Stephen M Fiore

Abstract

We describe a computational model of social norms based on identifying values that a certain culture finds desirable such as dignity, generosity and politeness. The model quantifies these values in the form of Culture-Sanctioned Social Metrics (CSSMs) and treats social norms as the requirement to maximize these metrics from the perspective of the self, peers and public. This model can be used to create realistic social simulations, to explain or predict human behavior in specific scenarios, or as a component of robots or agents that need to interact with humans in specific social-cultural settings. We validate the model by using it to represent a complex deception scenario and showing that it can yield non-trivial insights such as the explanation of apparently irrational human behavior.

Suggested Citation

  • Ladislau Bölöni & Taranjeet Singh Bhatia & Saad Ahmad Khan & Jonathan Streater & Stephen M Fiore, 2018. "Towards a computational model of social norms," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-26, April.
    • Handle: RePEc:plo:pone00:0195331
    DOI: 10.1371/journal.pone.0195331
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    References listed on IDEAS

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    3. Eva Hudlicka, 2011. "Guidelines for Designing Computational Models of Emotions," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 2(1), pages 26-79, January.
    4. Jon Elster, 1998. "Emotions and Economic Theory," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 47-74, March.
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