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A survey on reputation systems for artificial societies

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  • Balke, Tina
  • König, Stefan
  • Eymann, Torsten

Abstract

The Internet has caused a revolution in trading. Especially cheap items are now easy to buy and sell on the Internet. As a consequence, sellers nowadays offer a wide range of products on the web, creating an abundance of choice for consumers. Consumers have the opportunity to browse on different auction sites for the item they really want. Along with this success story, however, came the stories of people being cheated by fraudulent online sellers. These frauds cover a range from not delivering what has been promised, the overrating of a product's condition, to deliberate acts of theft. They are a result of so-called asymmetric information. Trust and reputation mechanisms are intended to address this asymmetric information distribution. This article surveys the most common trust and reputation systems.

Suggested Citation

  • Balke, Tina & König, Stefan & Eymann, Torsten, 2009. "A survey on reputation systems for artificial societies," Bayreuth Reports on Information Systems Management 46, University of Bayreuth, Chair of Information Systems Management.
    • Handle: RePEc:zbw:bayism:46
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    File URL: https://www.econstor.eu/bitstream/10419/52616/1/612285189.pdf
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    References listed on IDEAS

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    1. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
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    Cited by:

    1. Heitz, Miriam & König, Stefan, 2009. "Reputation in multi agent systems and the incentives to provide feedback," Bayreuth Reports on Information Systems Management 48, University of Bayreuth, Chair of Information Systems Management.
    2. Corinna Elsenbroich & Jennifer Badham, 2016. "The Extortion Relationship: A Computational Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(4), pages 1-8.

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