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Logic-Based Reputation Model in E-Commerce Simulation

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Abstract

We employ a multimodal logic in a decision making mechanism involving trust and reputation. The mechanism is then used in a community of interacting agents which develop cooperative relationships, assess the results against several quality criteria and possibly publish their beliefs inside the group. A new definition is proposed for describing how an agent deals with the common reputation information and with divergent opinions. The definition permits selecting and integrating the knowledge obtained from the peers, based on their perceived trust, as well as on threshold called critical mass. The influence of this parameter and of the number of agents supporting a sentence over its adoption are then investigated.

Suggested Citation

  • Ioan Alfred Letia & Radu Razvan Slavescu, 2012. "Logic-Based Reputation Model in E-Commerce Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(3), pages 1-7.
  • Handle: RePEc:jas:jasssj:2012-17-2
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    File URL: http://jasss.soc.surrey.ac.uk/15/3/7/7.pdf
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    Cited by:

    1. Davide Secchi & Raffaello Seri, 2017. "Controlling for false negatives in agent-based models: a review of power analysis in organizational research," Computational and Mathematical Organization Theory, Springer, vol. 23(1), pages 94-121, March.

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