E-Commerce Trust Metrics and Models
IEEE Internet Computing
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Trust Framework for P2P Networks Using Peer-Profile Based Anomaly Technique
ICDCSW '05 Proceedings of the Second International Workshop on Security in Distributed Computing Systems (SDCS) (ICDCSW'05) - Volume 02
Trusted P2P Transactions with Fuzzy Reputation Aggregation
IEEE Internet Computing
Fuzzy Trust for Peer-to-Peer Systems
ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
Trust, untrust, distrust and mistrust – an exploration of the dark(er) side
iTrust'05 Proceedings of the Third international conference on Trust Management
Experience-Based trust: enabling effective resource selection in a grid environment
iTrust'05 Proceedings of the Third international conference on Trust Management
Managing Conflicting Beliefs with Fuzzy Trust on the Semantic Web
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Towards Improved Partner Selection Using Recommendations and Trust
Trust in Agent Societies
Trustworthy interaction balancing in mixed service-oriented systems
Proceedings of the 2010 ACM Symposium on Applied Computing
Modeling and mining of dynamic trust in complex service-oriented systems
Information Systems
Goal generation from possibilistic beliefs based on trust and distrust
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
Incorporating trust in networked production systems
Journal of Intelligent Manufacturing
| Hi-index | 0.00 |
Multi-agent systems are based upon cooperative interactions between agents, in which agents provide information, resources and services to others. Typically agents are autonomous and self-interested, meaning that they have control over their own actions, and that they seek to maximise their own goal achievement, rather than necessarily acting in a benevolent or socially-oriented manner. Consequently, interaction outcomes are uncertain since commitments can be broken and the actual services rendered may differ from expectations in terms of cost or quality. Cooperation is, therefore, an uncertain interaction, that has an inherent risk of failure or reduced performance. In this paper we show how agents can use trust to manage this risk. Our approach uses fuzzy logic to represent trust and allow agents to reason with uncertain and imprecise information regarding others' trustworthiness.