Image and Reputation Coping Differently with Massive Informational Cheating

  • Walter Quattrociocchi
  • Mario Paolucci
  • Rosaria Conte
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5736)


Multi-agent based simulation is an arising scientific trend which is naturally provided of instruments able to cope with complex systems, in particular the socio-cognitive complex systems. In this paper, a simulation-based exploration of the effect of false information on social evaluation formation is presented. We perform simulative experiments on the RepAge platform, a computational system allowing agents to communicate and acquire both direct (image) and indirect and unchecked (reputation) information. Informational cheating, when the number of liars becomes substantial, is shown to seriously affect quality achievement obtained through reputation. In the paper, after a brief introduction of the theoretical background, the hypotheses and the market scenario are presented and the simulation results are discussed with respect to the agents’ decision making process, focusing on uncertainty, false information spreading and quality of contracts.


Social Evaluation False Information Partner Selection Social Intelligence Good Seller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Walter Quattrociocchi
    • 1
  • Mario Paolucci
    • 1
  • Rosaria Conte
    • 1
  1. 1.Laboratory of Agent Based Social Simulation - Institute of Cognitive Sciences and Technologies - CNR RomeItaly

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