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ABSTRACT
The use of previous direct interactions is probably the best way to calculate a reputation but, unfortunately this information is not always available. This is especially true in large multi-agent systems where interaction is scarce. In this paper we present a reputation system that takes advantage, among other things, of social relations between agents to overcome this problem.
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CITED BY 43
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Murat Şensoy , F. Canan Pembe , Hande Zırtıloğlu , Pınar Yolum , Ayşe Bener, Experience-based service provider selection in agent-mediated E-Commerce, Engineering Applications of Artificial Intelligence, v.20 n.3, p.325-335, April, 2007
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Fengming Liu , Wenyin Zhang , Yongsheng Ding , Xiyu Liu , Mingchun Zheng , Yu Liu, DynamicTrust: three-dimensional dynamic computing model of trust in peer-to-peer networks, Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, June 12-14, 2009, Shanghai, China
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Karen K. Fullam , Tomas B. Klos , Guillaume Muller , Jordi Sabater-Mir , Zvi Topol , K. Suzanne Barber , Jeffrey Rosenschein , Laurent Vercouter, The Agent Reputation and Trust (ART) Testbed Architecture, Proceeding of the 2005 conference on Artificial Intelligence Research and Development, p.389-396, May 12, 2005
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