Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
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
IEEE Intelligent 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
Using Trust for Secure Collaboration in Uncertain Environments
IEEE Pervasive Computing
A classification of trust systems
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
CAT: a context-aware trust model for open and dynamic systems
Proceedings of the 2008 ACM symposium on Applied computing
Extending Bayesian trust models regarding context-dependence and user friendly representation
Proceedings of the 2009 ACM symposium on Applied Computing
A distributed reputation and trust management scheme for mobile peer-to-peer networks
Computer Communications
Central misbehavior evaluation for VANETs based on mobility data plausibility
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
A formal derivation of composite trust
FPS'12 Proceedings of the 5th international conference on Foundations and Practice of Security
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One of the challenges for ubiquitous computing and P2P systems is to find reliable partners for interactions. We believe that this problem can be solved by assigning trust values to entities and allowing them to state opinions about the trust-worthiness of others. In this paper, we develop a new trust model, called Certain Trust, which can easily be interpreted and adjusted by users and software agents. A key feature of Certain Trust is that it is capable of expressing the certainty of a trust opinion, depending on the context of use. We show how the trust values can be expressed using different representations (one for users and one for software agents) and present an automatic mapping to change between the representations.