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On the Simulation of Global Reputation Systems

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Abstract

Reputation systems evolve as a mechanism to build trust in virtual communities. In this paper we evaluate different metrics for computing reputation in multi-agent systems. We present a formal model for describing metrics in reputation systems and show how different well-known global reputation metrics are expressed by it. Based on the model a generic simulation framework for reputation metrics was implemented. We used our simulation framework to compare different global reputation systems to find their strengths and weaknesses. The strength of a metric is measured by its resistance against different threat-models, i.e. different types of hostile agents. Based on our results we propose a new metric for reputation systems.

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  • Andreas Schlosser & Marco Voss & Lars Brückner, 2005. "On the Simulation of Global Reputation Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-4.
    • Handle: RePEc:jas:jasssj:2005-13-2
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    1. Eric J. Friedman* & Paul Resnick, 2001. "The Social Cost of Cheap Pseudonyms," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 10(2), pages 173-199, June.
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    Cited by:

    1. Behrooz Hassani-Mahmooei & Brett W. Parris, 2014. "Dynamics of effort allocation and evolution of trust: an agent-based model," Computational and Mathematical Organization Theory, Springer, vol. 20(2), pages 133-154, June.
    2. Bruce Edmonds, 2012. "Context in social simulation: why it can’t be wished away," Computational and Mathematical Organization Theory, Springer, vol. 18(1), pages 5-21, March.

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