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The Value of Values and Norms in Social Simulation

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Abstract

Social simulations gain strength when agent behaviour can (1) represent human behaviour and (2) be explained in understandable terms. Agents with values and norms lead to simulation results that meet human needs for explanations, but have not been tested on their ability to reproduce human behaviour. This paper compares empirical data on human behaviour to simulated data on agents with values and norms in a psychological experiment on dividing money: the ultimatum game. We find that our agent model with values and norms produces aggregate behaviour that falls within the 95% confidence interval wherein human behaviour lies more often than other tested agent models. A main insight is that values serve as a static component in agent behaviour, whereas norms serve as a dynamic component.

Suggested Citation

  • Rijk Mercuur & Virginia Dignum & Catholijn Jonker, 2019. "The Value of Values and Norms in Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(1), pages 1-9.
    • Handle: RePEc:jas:jasssj:2018-40-3
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    Cited by:

    1. Arnold Overwater & Neil Yorke-Smith, 2022. "Agent-based simulation of short-term peer-to-peer rentals: Evidence from the Amsterdam housing market," Environment and Planning B, , vol. 49(1), pages 223-240, January.

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