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Reputation evaluation method for open multi-agent systems

Reputation evaluation method for open multi-agent systems
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摘要 A reputation evaluation method based on multi-dimensional information representation and correlative algorithm is proposed for open multi-agent systems. First, a vector model is estab- lished to represent the reputation related information. Second, a vector based reputation model "TRUST" is put forward to evaluate the reputation of agents. Finally, a correlative algorithm for se- lecting the most appropriate service provider is proposed. Simulation results indicate that the method can quickly and accurately to achieve the aim of adaptive immunity to reputation fraud and improving the average gain that service consumer agents obtained. A reputation evaluation method based on multi-dimensional information representation and correlative algorithm is proposed for open multi-agent systems. First, a vector model is estab- lished to represent the reputation related information. Second, a vector based reputation model "TRUST" is put forward to evaluate the reputation of agents. Finally, a correlative algorithm for se- lecting the most appropriate service provider is proposed. Simulation results indicate that the method can quickly and accurately to achieve the aim of adaptive immunity to reputation fraud and improving the average gain that service consumer agents obtained.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2013年第1期75-80,共6页 北京理工大学学报(英文版)
基金 Supported by the National Natural Science Foundation of China(61101214)
关键词 REPUTATION reputation fraud VECTOR correlation algorithm reputation reputation fraud vector correlation algorithm
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参考文献9

  • 1Huynh T D, Jennings N R, Shadbolt N R.An integrated trust and reputation model for open multi-agent systems[J].Autonomous Agents Multi-Agent Systems,2006, 13(2): 119-154.
  • 2Shekarpour S, Katebi S D. Modeling and evaluation of trust with an extension in semantic web[J]. Web Semantics Science Services and Agents on the World Wide Web,2010, 8(1):26-36.
  • 3Zhang H B, Wang Y, Zhang X Z. Transaction similarity-based contextual trust evaluation in e-eommerce and e-service environments[C]//Proceedings of International Conference on Web Services. Washington,.
  • 4Bharadwaj K, Al-Shamri M. Fuzzy computational models for trust and reputation systems[J]. Electronic Commerce Research and Applications,2009, 8(1):37-47.
  • 5Agudo I, Fernandez-Gago C, Lopez J .A scale based trust model for multi-context environments[J]. Computers and Mathematics with Applications,2010, 60(2):209-216.
  • 6J?sang A, Ismail R, Boyd C. Survey of trust and reputation systems for online service provision[J]. Decision Support Systems,2007, 43(2):618-644.
  • 7Cornelli F, Damiani E, Capitani S D. Choosing reputable servents in a p2p network[C]// Proceedings of the 11th International World Wide Web Conference. NewYork, USA: ACM, 2002:376-386.
  • 8Kevin H, David Z, Cristina N R. A survey of attack and defense techniques for reputation systems[J]. ACM Computing Surveys, 2007,42(1):1-31.
  • 9Feng Q Y, Yang Y F, Sun Y. Modeling attack behaviors in rating systems[C]//Proceedings of the 2th International Workshop on Trust and Reputation Management in Massively Distributed Computing Systems. B.

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