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Social Reputation: a Mechanism for Flexible Self-Regulation of Multiagent Systems

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Abstract

In this paper, we use multiagent technology for social simulation of sociological micro-macro issues in the domain of electronic marketplaces. We argue that allowing self-interested agents to enable social reputation as a mechanism for flexible self-regulation during runtime can improve the robustness and 'social order' of multiagent systems to cope with various perturbations that arise when simulating open markets (e.g. dynamic modifications of task profiles, scaling of agent populations, agent drop-outs, deviant behaviour). Referring to the sociological theory of Pierre Bourdieu, we provide a multi-level concept of reputation that consists of three different types (image, social esteem, and prestige) and considers reputation as a kind of 'symbolic capital'. Reputation is regarded to be objectified as an observable property and to be incorporated into the agents' mental structures through social practices of communication on different aggregation levels of sociality. We present and analyse selected results of our social simulations and discuss the importance of reputation with regard to the robustness of multiagent simulations of electronic markets.

Suggested Citation

  • Christian Hahn & Bettina Fley & Michael Florian & Daniela Spresny & Klaus Fischer, 2007. "Social Reputation: a Mechanism for Flexible Self-Regulation of Multiagent Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(1), pages 1-2.
  • Handle: RePEc:jas:jasssj:2006-13-4
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    Cited by:

    1. Riccardo Boero & Giangiacomo Bravo & Marco Castellani & Francesco Laganà & Flaminio Squazzoni, 2009. "Pillars of Trust: An Experimental Study on Reputation and Its Effects," Sociological Research Online, , vol. 14(5), pages 49-67, November.
    2. Karin Hansson & Petter Karlström & Aron Larsson & Harko Verhagen, 2014. "Reputation, inequality and meeting techniques: visualising user hierarchy to support collaboration," Computational and Mathematical Organization Theory, Springer, vol. 20(2), pages 155-175, June.
    3. Riccardo Boero & Giangiacomo Bravo & Marco Castellani & Flaminio Squazzoni, 2010. "Why Bother with What Others Tell You? An Experimental Data-Driven Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-6.
    4. Yutaka NAKAI & Masayoshi Muto, 2008. "Emergence and Collapse of Peace with Friend Selection Strategies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-6.
    5. Debora E. Vollebregt, 2018. "The Value of Nothing: Reconciling Cultural Capital in Society," Corporate Reputation Review, Palgrave Macmillan, vol. 21(4), pages 139-152, December.
    6. Buckley, Ralf, 2013. "Social-benefit certification as a game," Tourism Management, Elsevier, vol. 37(C), pages 203-209.

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