A Fuzzy Approach to Reasoning with Trust, Distrust and Insufficient Trust

  • Nathan Griffiths
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4149)


Multi-agent systems are based upon cooperative interactions between agents, in which agents provide information, resources and services to others. Typically agents are autonomous and self-interested, meaning that they have control over their own actions, and that they seek to maximise their own goal achievement, rather than necessarily acting in a benevolent or socially-oriented manner. Consequently, interaction outcomes are uncertain since commitments can be broken and the actual services rendered may differ from expectations in terms of cost or quality. Cooperation is, therefore, an uncertain interaction, that has an inherent risk of failure or reduced performance. In this paper we show how agents can use trust to manage this risk. Our approach uses fuzzy logic to represent trust and allow agents to reason with uncertain and imprecise information regarding others’ trustworthiness.


Membership Function Fuzzy Logic Fuzzy Approach Trust Dimension Cooperative Partner 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nathan Griffiths
    • 1
  1. 1.Department of Computer ScienceUniversity of WarwickCoventryUK

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