Engaging the Dynamics of Trust in Computational Trust and Reputation Systems

  • Agnieszka Danek
  • Joana Urbano
  • Ana Paula Rocha
  • Eugénio Oliveira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6070)


Computational Trust and Reputation (CTR) systems are essential in electronic commerce to encourage interactions and suppress deceptive behaviours. This paper focus on comparing two different kinds of approaches to evaluate the trustworthiness of suppliers. One is based on calculating the weighted mean of past results. The second one applies basic properties of the dynamics of trust. Different scenarios are investigated, including a more problematic one that results from introducing newcomers during the simulation. Experimental results presented in this paper prove the benefits of engaging properties of the dynamics of trust in CRT systems, as it noticeably improves the process of business partners’ selection and increases the utility.


Trust Model Multiagent System Business Partner Trust Score Reputation System 
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 2010

Authors and Affiliations

  • Agnieszka Danek
    • 1
  • Joana Urbano
    • 1
  • Ana Paula Rocha
    • 1
  • Eugénio Oliveira
    • 1
  1. 1.Faculdade de Engenharia da Universidade do Porto — DEILIACC — Laboratory of Artificial Intelligence and Computer Science at University of PortoPortoPortugal

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