Formal Analysis of Models for the Dynamics of Trust Based on Experiences
MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
Using Inter-agent Trust Relationships for Efficient Coalition Formation
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
On-line trust: concepts, evolving themes, a model
International Journal of Human-Computer Studies - Special issue: Trust and technology
Belief, information acquisition, and trust in multi-agent systems: a modal logic formulation
Artificial Intelligence
Propagation of trust and distrust
Proceedings of the 13th international conference on World Wide Web
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
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
The Knowledge Engineering Review
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Fuzzy trust evaluation and credibility development in multi-agent systems
Applied Soft Computing
Aiding Human Reliance Decision Making Using Computational Models of Trust
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Personalised and dynamic trust in social networks
Proceedings of the third ACM conference on Recommender systems
Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part I
Modeling and mining of dynamic trust in complex service-oriented systems
Information Systems
Novel personal and group-based trust models in collaborative filtering for document recommendation
Information Sciences: an International Journal
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When considering intelligent agents that interact with humans, having an idea of the trust levels of the human, for example in other agents or services, can be of great importance. Most models of human trust that exist assume trust in one trustee is independent of trust in another trustee. The model introduced here addresses so-called relative trust. The idea of relative trust is that trust in a certain trustee not only depends on the experiences with that trustee, but also on trustees that are perceived competitors of that trustee. Such models for relative trust contain parameters to represent the specific dependency between trust for different trustees. In order to tailor the model towards a specific human, dedicated parameter estimation techniques are used. The validation shows that such a model for relative trust is able to predict human trust based behavior significantly better compared to a benchmark model.