The Socio-cognitive Dynamics of Trust: Does Trust Create Trust?
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
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
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
Trust beyond security: an expanded trust model
Communications of the ACM - Services science
Expert Systems with Applications: An International Journal
International Journal of Electronic Commerce
A temporalised belief logic for specifying the dynamics of trust for multi-agent systems
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
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This paper proposes a hierarchical network model for trust evaluation after introducing time cognition, which mainly considers trust dynamics. In this model, the Temporal Sequential Marker (TSM) is tagged on each item in an implicit or explicit manner and all items are divided into several layers according to their TSMs information. Furthermore, three different kinds of forgetting effects are investigated and quantified for the computing of TSM- Trust. These effects are: distance effect, boundary effect and hierarchical effect. Next, according to the Ebbinghaus curve of forgetting, cosine function is used to model the forgetting process of Experience Information (EI) approximately, the D-S theory is exploited to build up a computational dynamic trust (TSM-Trust) model based on our proposed hierarchical network model. Finally, our future work is pointed out after analysizing the limitations of this paper.