REFINING THE TRUSTWORTHINESS ASSESSMENT OF SUPPLIERS THROUGH EXTRACTION OF STEREOTYPES

Joana Urbano, Ana Paula Rocha, Eugénio Oliveira

2010

Abstract

Trust management is nowadays considered a promising enabler technology to extend the automation of the supply chain to the search, evaluation and selection of suppliers located world-wide. Current agent-based Computational Trust and Reputation (CTR) systems concern the representation, dissemination and aggregation of trust evidences for trustworthiness assessment, and some recent proposals are moving towards situation-aware solutions that allow the estimation of trust when the information about a given supplier is scarce or even null. However, these enhanced, situation-aware proposals rely on ontology-like techniques that are not fine grained enough to detect light, but relevant, tendencies on supplier’s behaviour. In this paper, we propose a technique that allows the extraction of positive and negative tendencies of suppliers in the fulfilment of established contracts. This technique can be used with any of the existing “traditional” CTR systems, improving their ability in selectively selecting a partner based on the characteristics of the situation in evaluation. In this paper, we test our proposal using an aggregation engine that embeds important properties of the dynamics of trust building.

References

  1. Elofson, G., 1998. Developing Trust with Intelligent Agents: An Exploratory Study. In Proceedings of the First International Workshop on Trust, pp. 125-139.
  2. Erete, I., Ferguson, E., Sen, S., 2008. Learning taskspecific trust decisions. In Procs. 7th Int. J. Conf. on Autonomous Agents and Multiagent Systems, vol. 3.
  3. Fabregues, A., Madrenas-Ciurana, J., 2009. SRM: a tool for supplier performance. In AAMAS'09, 1375-1376.
  4. Falcone, R., Castelfranchi, C., 1998. Principles of trust for MAS: cognitive anatomy, social importance, and quantification. In Procs. Int. Conference on MultiAgent Systems.
  5. Hermoso, R., Billhardt, H., Ossowski, S., 2009. Dynamic evolution of role taxonomies through multidimensional clustering in multiagent organizations. In Principles of Practice in Multi-Agent Systems, vol. 5925, chapter 45, pp. 587-594.
  6. Huynh, T. D., Jennings, N.R., Shadbolt, N.R., 2006. An integrated trust and reputation model for open multiagent systems. In Autonomous Agents and Multi-Agent Systems, Vol. 13, N. 2, September 2006, pp. 119-15.
  7. Jonker, C. M., Treur, J., 1999. Formal Analysis of Models for the Dynamics of Trust Based on Experiences. In Procs. of the 9th European Workshop on Modelling Autonomous Agents in Multi-Agent World: Multiagent System Engineering. F. J. Garijo and M. Boman. LNCS, vol. 1647. Springer-Verlag, London, 221-231.
  8. Jøsang, A., Ismail, R., 2002. The Beta Reputation System. In Proceedings of the 15th Bled Electronic Commerce Conference, Sloven.
  9. Marsh, S., Briggs, P., 2008. Examining Trust, Forgiveness and Regret as Computational Concepts. Computing with Social Trust. Springer, ed. J. Golbeck, pp. 9-43
  10. Melaye, D., Demazeau, Y., 2005. Bayesian Dynamic Trust Model. CEEMAS 2005: 480-489.
  11. Neisse, R., Wegdam, M., Sinderen, M., Lenzini, G., 2009. Trust management model and architecture for contextaware service platforms. In On the Move to Meaningful Internet Systems. LNCS, pp. 1803-1820.
  12. Paliouras, G., Karkaletsis V., Papatheodorou, C., Pyropoulos, C. D., 1999. Exploiting Learning Techniques for the Acquisition of User Stereotypes and Communities. In Procs. of UM99.
  13. Ramchurn, S., Sierra, C., Godo, L., Jennings, N.R., 2004. Devising a trust model for multi-agent interactions using confidence and reputation. In Int. J. Applied Artificial Intelligence (18) 833-852.
  14. Rehak, M., Gregor, M., Pechoucek, M., 2006. Multidimensional context representations for situational trust. In IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications, pp. 315-320.
  15. Sabater, J., 2003. Trust and Reputation for Agent Societies. Number 20 in Monografies de l'institut d'investigacio en intelligència artificial. IIIA-CSIC.
  16. Sabater, J., Paolucci, M., Conte, R., 2006. Repage: Reputation and image among limited autonomous partners. In Journal of artificial societies and social simulation, Vol. 9, pp. 3.
  17. Straker, D., 2008. Changing Minds: in Detail. Syque Press.
  18. Tavakolifard, M., 2009. Situation-aware trust management. In RecSys 7809: Proceedings of the third ACM conference on Recommender systems, 413-416.
  19. Zacharia, G., Maes, P., 2000. Trust management through reputation mechanisms. In Applied Artificial Intelligence, 14(9), 881-908.
Download


Paper Citation


in Harvard Style

Urbano J., Paula Rocha A. and Oliveira E. (2010). REFINING THE TRUSTWORTHINESS ASSESSMENT OF SUPPLIERS THROUGH EXTRACTION OF STEREOTYPES . In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-05-8, pages 85-92. DOI: 10.5220/0002908600850092


in Bibtex Style

@conference{iceis10,
author={Joana Urbano and Ana Paula Rocha and Eugénio Oliveira},
title={REFINING THE TRUSTWORTHINESS ASSESSMENT OF SUPPLIERS THROUGH EXTRACTION OF STEREOTYPES},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2010},
pages={85-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002908600850092},
isbn={978-989-8425-05-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - REFINING THE TRUSTWORTHINESS ASSESSMENT OF SUPPLIERS THROUGH EXTRACTION OF STEREOTYPES
SN - 978-989-8425-05-8
AU - Urbano J.
AU - Paula Rocha A.
AU - Oliveira E.
PY - 2010
SP - 85
EP - 92
DO - 10.5220/0002908600850092