Electronic commerce relationships: trust by design
Electronic commerce relationships: trust by design
Trust and risk in Internet commerce
Trust and risk in Internet commerce
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
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
Introduction to Multiagent Systems
Introduction to Multiagent Systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Detecting deception in reputation management
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Decentralized Trust Management
SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
A Manifesto for Agent Technology: Towards Next Generation Computing
Autonomous Agents and Multi-Agent Systems
Trust Dynamics: How Trust Is Influenced by Direct Experiences and by Trust Itself
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
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Trust is a fundamental issue in multiagent systems, especially in agent-mediated e-commence. The trust model plays an important role in determining who and how to interact in open and dynamic environments. To this end, many trust models have been developed. Based on the confidence reputation model proposed by other researchers, an improved trust model is discussed. The original model was enhanced in two aspects: (1) when evaluating the trustworthiness of target agents, the reliability of the witness itself is taken into account and further aggregated by Dempster-Shafer evidence theory and (2) the ontological property of trust is considered, which implies that trust can be calculated more precisely. A case study is provided to show the effectiveness of the improved model.