Design of a trust model for a secure multi-agent marketplace
Proceedings of the fifth international conference on Autonomous agents
Simulating the establishment of trust infrastructures in multi-agent systems
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
Agent-based trust model involving multiple qualities
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust Relationships and Reputation Relationships for Service Oriented Environments
AICCSA '06 Proceedings of the IEEE International Conference on Computer Systems and Applications
Rumours and reputation: evaluating multi-dimensional trust within a decentralised reputation system
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
FlowTrust: trust inference with network flows
Frontiers of Computer Science in China
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Trust is a fundamental concern in large-scale open distributed systems such as multi-agent systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. In this paper, an approach is developed for the evaluation of trust using fuzzy reasoning. The approach takes different trust sources into account, thereby minimizing the effect of wrong evaluations. It also incorporates a time factor for the evaluations of trust to address the different weightings of old versus new evaluations. Furthermore, the overall trust calculation consists of a non-linear weighted fuzzy calculation. A case study outlines different steps of the trust evaluation and shows, how the system computes the overall trust value, the reliability of the company, and the reliability of the results.