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Computer-Mediated Trust in Self-interested Expert Recommendations

  • Jonathan Ben-Naim
  • Jean-François Bonnefon
  • Andreas Herzig
  • Sylvie Leblois
  • Emiliano Lorini

Abstract

Important decisions are often based on a distributed process of information processing, from a knowledge base that is itself distributed among agents. The simplest such situation is that where a decision-maker seeks the recommendations of experts. Because experts may have vested interests in the consequences of their recommendations, decision-makers usually seek the advice of experts they trust. Trust, however, is a commodity that is usually built through repeated face time and social interaction, and thus cannot easily be built in a global world where we have immediate Internet access to a vast pool of experts. In this article, we integrate findings from experimental psychology and formal tools from Artificial Intelligence to offer a preliminary roadmap for solving the problem of trust in this computer-mediated environment. We conclude the article by considering a diverse array of extended applications of such a solution.

Keywords

Global Index Reputation System Expert Recommendation Standard Deontic Logic Malicious Agent 
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 London 2013

Authors and Affiliations

  • Jonathan Ben-Naim
    • 1
    • 3
  • Jean-François Bonnefon
    • 1
    • 2
  • Andreas Herzig
    • 1
    • 3
  • Sylvie Leblois
    • 1
    • 2
  • Emiliano Lorini
    • 1
    • 3
  1. 1.CNRS and Université de ToulouseToulouseFrance
  2. 2.CLLEMaison de la RechercheToulouseFrance
  3. 3.IRITUniversité Paul SabatierToulouseFrance

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