A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
A survey of trust and reputation systems for online service provision
Decision Support Systems
Trust Theory: A Socio-Cognitive and Computational Model
Trust Theory: A Socio-Cognitive and Computational Model
Exploring different types of trust propagation
iTrust'06 Proceedings of the 4th international conference on Trust Management
Conditional deduction under uncertainty
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
PRep: a probabilistic reputation model for biased societies
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
| Hi-index | 0.00 |
Computational trust mechanisms aim to produce a trust rating from both direct and indirect information about agents behaviour. Jøsang's Subjective Logic has been widely adopted as the core of such systems via its fusion and discount operators. Recently we proposed an operator for discounting opinions based on geometrical properties, and, continuing this line of investigation, this paper describes a new geometry based fusion operator. We evaluate this fusion operator together with our geometric discount operator in the context of a trust system, and show that our operators outperform those originally described by Jøsang. A core advantage of our work is that these operators can be used without modifying the remainder of the trust and reputation system.