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

References in zbMATH (referenced in 17 articles )

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  1. Capraro, Valerio; Venanzi, Matteo; Polukarov, Maria; Jennings, Nicholas R.: Cooperative equilibria in iterated social dilemmas (2013)
  2. Chang, Liu; Ouzrout, Yacine; Nongaillard, Antoine; Bouras, Abdelaziz; Jiliu, Zhou: The reputation evaluation based on optimized hidden Markov model in E-commerce (2013)
  3. Koster, Andrew; Schorlemmer, Marco; Sabater-Mir, Jordi: Opening the black box of trust: reasoning about trust models in a BDI agent (2013) ioport
  4. Teacy, W.T.Luke; Luck, Michael; Rogers, Alex; Jennings, Nicholas R.: An efficient and versatile approach to trust and reputation using hierarchical Bayesian modelling (2012)
  5. Aziz, H.; Bachrach, Y.; Elkind, E.; Paterson, M.: False-name manipulations in weighted voting games (2011)
  6. Stein, S.; Gerding, E.H.; Rogers, A.C.; Larson, K.; Jennings, N.R.: Algorithms and mechanisms for procuring services with uncertain durations using redundancy (2011)
  7. Wang, Yonghong; Hang, C.; Singh, M.P.: A probabilistic approach for maintaining trust based on evidence (2011)
  8. Fouss, François; Achbany, Youssef; Saerens, Marco: A probabilistic reputation model based on transaction ratings (2010) ioport
  9. Kerr, Reid; Cohen, Robin: TREET: The trust and reputation experimentation and evaluation testbed (2010) ioport
  10. Khosravifar, Babak; Bentahar, Jamal; Gomrokchi, Maziar: Declarative and numerical analysis of edge creation process in trust-based social networks (2010)
  11. ElSalamouny, Ehab; Krukow, Karl Tikjøb; Sassone, Vladimiro: An analysis of the exponential decay principle in probabilistic trust models (2009)
  12. Hoffmann, J.; Bertoli, P.; Helmert, M.; Pistore, M.: Message-based web service composition, integrity constraints, and planning under uncertainty: a new connection (2009)
  13. Ramchurn, S.D.; Mezzetti, C.; Giovannucci, A.; Rodriguez-Aguilar, J.A.; Dash, R.K.; Jennings, N.R.: Trust-based mechanisms for robust and efficient task allocation in the presence of execution uncertainty (2009)
  14. Sensoy, Murat; Yolum, Pinar: Evolving service semantics cooperatively: a consumer-driven approach (2009) ioport
  15. Zhang, Hong; Duan, Haixin; Liu, Wu: RRM: An incentive reputation model for promoting good behaviors in distributed systems (2008) ioport
  16. Ramchurn, Sarvapali D.; Sierra, Carles; Godo, Lluís; Jennings, Nicholas R.: Negotiating using rewards (2007)
  17. Teacy, W.T.Luke; Patel, Jigar; Jennings, Nicholas R.; Luck, Michael: TRAVOS: Trust and reputation in the context of inaccurate information sources. (2006) ioport