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Homo Socionicus: a Case Study of Simulation Models of Norms

  • Martin Neumann

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    This paper describes a survey of normative agent-based social simulation models. These models are examined from the perspective of the foundations of social theory. Agent-based modelling contributes to the research program of methodological individualism. Norms are a central concept in the role theoretic concept of action in the tradition of Durkheim and Parsons. This paper investigates to what extend normative agent-based models are able to capture the role theoretic concept of norms. Three methodological core problems are identified: the question of norm transmission, normative transformation of agents and what kind of analysis the models contribute. It can be shown that initially the models appeared only to address some of these problems rather than all of them simultaneously. More recent developments, however, show progress in that direction. However, the degree of resolution of intra agent processes remains too low for a comprehensive understanding of normative behaviour regulation.

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    File URL: http://jasss.soc.surrey.ac.uk/11/4/6/6.pdf
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    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 11 (2008)
    Issue (Month): 4 ()
    Pages: 1-6

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    Handle: RePEc:jas:jasssj:2007-110-2
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    1. Guillaume Deffuant & Scott Moss & Wander Jager, 2006. "Dialogues Concerning a (Possibly) New Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-1.
    2. José Manuel Galán & Luis R. Izquierdo, 2005. "Appearances Can Be Deceiving: Lessons Learned Re-Implementing Axelrod's 'Evolutionary Approach to Norms'," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(3), pages 2-2.
    3. Alexander Staller & Paolo Petta, 2001. "Introducing Emotions into the Computational Study of Social Norms: a First Evaluation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(1), pages 1-2.
    4. Scott Moss, 2001. "Game Theory: Limitations and an Alternative," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(2), pages 2-2.
    5. David Hales, 2002. "Group Reputation Supports Beneficent Norms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-4.
    6. Cristiano Castelfranchi & Rosaria Conte & Mario Paolucci, 1998. "Normative Reputation and the Costs of Compliance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 3-3.
    7. Nicole J. Saam & Andreas G. Harrer, 1999. "Simulating Norms, Social Inequality, and Functional Change in Artificial Societies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(1), pages 2-2.
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