NSPW '97 Proceedings of the 1997 workshop on New security paradigms
Social trust: a cognitive approach
Trust and deception in virtual societies
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
Computing and applying trust in web-based social networks
Computing and applying trust in web-based social networks
A survey of trust and reputation systems for online service provision
Decision Support Systems
Computing with Social Trust
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Personalised and dynamic trust in social networks
Proceedings of the third ACM conference on Recommender systems
How is the Semantic Web evolving? A dynamic social network perspective
Computers in Human Behavior
Trust, untrust, distrust and mistrust – an exploration of the dark(er) side
iTrust'05 Proceedings of the Third international conference on Trust Management
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Interactions between individuals are inherently dependent upon trust, no matter if they occur in the real world or in cybercommunities. Over the past years, proposals have been made to model trust relations computationally, either to assist users or for modeling purposes in multi-agent systems. These models rely implicitly on the social networks established by participating entities (be they autonomous agents or internet users). However, state-of-the-art trust frameworks often neglect the structure of those complex networks. In this paper, we present a new approach allowing agent-based trust frameworks to leverage information from both trusted and untrusted witnesses that would otherwise be neglected. An effective and robust voting scheme based on an agreement metric is presented and its benefit is shown through simulations.