Collaborative interface agents
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
Robustness of reputation-based trust: boolean case
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Specifying and Analysing Trust for Internet Applications
I3E '02 Proceedings of the IFIP Conference on Towards The Knowledge Society: E-Commerce, E-Business, E-Government
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Gradual trust and distrust in recommender systems
Fuzzy Sets and Systems
iTrust'05 Proceedings of the Third international conference on Trust Management
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Trust is considered as the crucial factor for agents in decision making to select the partners during their interaction in open distributed multiagent systems. Most of current trust models are the combination of experience trust and reference trust and make use of some propagation mechanism to enable agents to share his/her final trust with partners. These models are based on the assumption that all agents are reliable when they share their trust with others. However, they are no more longer appropriate to applications of multiagent systems, in which several concurrent agents may not be ready to share their information or may share the wrong data by lying to their partners. In this paper, we introduce a computational model of trust that is a combination of experience trust and reference trust. Furthermore, our model offers a mechanism to enable agents to judge the trustworthiness of referees when they refer the reference trust from their various partners that may be liars.