Information flow: the logic of distributed systems
Information flow: the logic of distributed systems
Reputation in Artificial Societies: Social Beliefs for Social Order
Reputation in Artificial Societies: Social Beliefs for Social Order
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Bayesian reputation modeling in E-marketplaces sensitive to subjecthity, deception and change
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Combining statistics and arguments to compute trust
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Inductively generated trust alignments based on shared interactions
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
An Argumentation-Based Dialog for Social Evaluations Exchange
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Trust Theory: A Socio-Cognitive and Computational Model
Trust Theory: A Socio-Cognitive and Computational Model
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In heterogeneous multi-agent systems trust is necessary to improve interactions by enabling agents to choose good partners. Most trust models work by taking, in addition to direct experiences, other agents' communicated evaluations into account. However, in an open MAS other agents may use different trust models and the evaluations they communicate are based on different principles: as such they are meaningless without some form of alignment. My doctoral research gives a formal definition of this problem and proposes two methods of achieving an alignment.