Abstract
Trust plays an important role in the fields of Distributed Artificial Intelligence (DAI) and Multi-agent Systems (MAS), which provides a more effective way to reduce complexity in condition of increasing social complexity. Although a number of computational issues about trust have been studied, there has to date been little attempt to investigate the differences between Objective Trust (OT) and Subjective Trust (ST). In this paper, we will rectify this omission. Particularly, we study the relationship between OT and ST, and propose Transitive Trust (TT) based on ST. We show that, differing with OT, ST is related to preferences of agents. We propose three rules to form trust framework, and give an example to illustrate the process of trust formation. We finally characterize some useful properties of OT and ST.
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References
Cao, L.: Data Mining and Multi-agent Integration (edited). Springer (2009)
Cao, L., Gorodetsky, V., Mitkas, P.A.: Agent Mining: The Synergy of Agents and Data Mining. IEEE Intelligent Systems 24(3), 64–72 (2009)
Cao, L., Weiss, G., Yu, P.S.: A Brief Introduction to Agent Mining. Journal of Autonomous Agents and Multi-Agent Systems 25, 419–424 (2012)
Marsh, S.P.: Formalising Trust as a Computational Concept. (Dissertation), University of Stirling (1994)
Luke Teacy, W.T., Patel, J., Jennings, N.R., Luck, M.: TRAVOS: Trust and reputation in the context of inaccurate information sources. Journal of Autonomous Agent Multi-Agent System 12, 183–198 (2006)
Khosravifar, B.: Maintenance-based Trust for Multi-Agent Systems. In: AAMAS 2009 (2009)
Ismail, R., Josang, A.: The beta reputation system. In: Proc. 15th Bled Conf. on Electronic Commerce (2002)
Josang, A., Ismail, R., Boyd, C.: A survey of trust and reputation systems for online service provision. Decision Support Systems (2005)
Whitby, A., Josang, A., Indulska, J.: Filtering out unfair ratings in bayesian reputation systems. In: Proc. 7th Int. Workshop on Trust in Agent Societies (2004)
Yu, B., Singh, M.P.: Detecting deception in reputation management. In: AAMAS 2003, pp. 73–80 (2003)
Huynh, T.D., Jennings, N.R., Shadbolt, N.R.: An integrated trust and reputation model for open multi-agent systems. Journal of Autonomous Agent Multi-Agent System 13, 119–154 (2006)
Tong, X., Huang, H., Zhang, W.: Agent long-term coalition credit. Expert Systems with Applications 36(5), 9457–9465 (2009)
Tong, X., Huang, H., Zhang, W.: Prediction and Abnormal Behavior Detection of Agent Dynamic Interaction Trust. Journal of Computer Research and Development 46(8), 1364–1370 (2009) (in Chinese)
Tong, X., Zhang, W.: Group trust and group reputation. In: ICNC 2009 (2009)
Tong, X., Zhang, W.: Long-Term MAS Coalition Based on Fuzzy Relation. Journal of Computer Research and Development 43(8), 1445–1449 (2006) (in Chinese)
Kastidou, G., Larson, K., Cohen, R.: Exchanging Reputation Information Between Communities: A Payment-Function Approach. In: IJCAI 2009 (2009)
Witkowski, J.: Eliciting Honest Reputation Feedback in a Markov Setting. In: IJCAI 2009 (2009)
Hang, C.-W., Wang, Y., Singh, M.P.: Operators for Propagating Trust and their Evaluation in Social Networks. In: AAMAS 2009 (2009)
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Tong, X., Zhang, W., Long, Y., Huang, H. (2013). Subjectivity and Objectivity of Trust. In: Cao, L., Zeng, Y., Symeonidis, A.L., Gorodetsky, V.I., Yu, P.S., Singh, M.P. (eds) Agents and Data Mining Interaction. ADMI 2012. Lecture Notes in Computer Science(), vol 7607. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36288-0_10
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DOI: https://doi.org/10.1007/978-3-642-36288-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36287-3
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