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Agents with Dynamic Social Norms

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Multi-Agent-Based Simulation XX (MABS 2019)

Abstract

Social norms are important as societal agreements of acceptable behavior. They can be seen as flexible, but stable constraints on individual behavior. However, social norms themselves are not completely static. Norms emerge from dynamic environments and changing agent populations. They adapt and in the end also get abrogated. Although norm emergence has received attention in the literature, its focus is mainly describing the rise of new norms based on individual preferences and punishments on violations. This explanation works for environments where personal preferences are stable and known. In this paper, we argue that values are the stable concepts that allow for explaining norm change in situations where agents can move between social groups in a dynamic environment (as is the case in most realistic social simulations for policy support). Values thus reflect the stable concept that those are shared between the agents of a group and can direct norm emergence, adaptation, and abrogation. We present the norm framework that enables describing and modeling value and situation based norm change and demonstrate its potential application using a simple example.

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Notes

  1. 1.

    Conformity is one of 10 abstract values that Schwartz presents in [17]. Conformity drives obedience to rules and social expectations or norms.

  2. 2.

    For further details and implemented version of the framework see [10].

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Correspondence to Samaneh Heidari .

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Heidari, S., Wijermans, N., Dignum, F. (2020). Agents with Dynamic Social Norms. In: Paolucci, M., Sichman, J.S., Verhagen, H. (eds) Multi-Agent-Based Simulation XX. MABS 2019. Lecture Notes in Computer Science(), vol 12025. Springer, Cham. https://doi.org/10.1007/978-3-030-60843-9_9

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  • DOI: https://doi.org/10.1007/978-3-030-60843-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60842-2

  • Online ISBN: 978-3-030-60843-9

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