Autonomous Agents and Multi-Agent Systems

, Volume 12, Issue 2, pp 183–198

TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources


    • Electronics & Computer ScienceUniversity of Southampton
  • Jigar Patel
    • Electronics & Computer ScienceUniversity of Southampton
  • Nicholas R. Jennings
    • Electronics & Computer ScienceUniversity of Southampton
  • Michael Luck
    • Electronics & Computer ScienceUniversity of Southampton

DOI: 10.1007/s10458-006-5952-x

Cite this article as:
Teacy, W.T.L., Patel, J., Jennings, N.R. et al. Auton Agent Multi-Agent Syst (2006) 12: 183. doi:10.1007/s10458-006-5952-x


In many dynamic open systems, agents have to interact with one another to achieve their goals. Here, agents may be self-interested, and when trusted to perform an action for another, may betray that trust by not performing the action as required. In addition, due to the size of such systems, agents will often interact with other agents with which they have little or no past experience. There is therefore a need to develop a model of trust and reputation that will ensure good interactions among software agents in large scale open systems. Against this background, we have developed TRAVOS (Trust and Reputation model for Agent-based Virtual OrganisationS) which models an agent’s trust in an interaction partner. Specifically, trust is calculated using probability theory taking account of past interactions between agents, and when there is a lack of personal experience between agents, the model draws upon reputation information gathered from third parties. In this latter case, we pay particular attention to handling the possibility that reputation information may be inaccurate.


TrustReputationProbabilistic trust

Copyright information

© Springer Science + Business Media, Inc. 2006