Developing trust in recommender agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Trust and Reputation Model in Peer-to-Peer Networks
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
The Knowledge Engineering Review
Task delegation using experience-based multi-dimensional trust
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust and reputation in peer-to-peer networks
Trust and reputation in peer-to-peer networks
The agent reputation and trust (ART) testbed
iTrust'06 Proceedings of the 4th international conference on Trust Management
Hedaquin: A Reputation-based Health Data Quality Indicator
Electronic Notes in Theoretical Computer Science (ENTCS)
On the Behaviour of the TRSIM Model for Trust and Reputation
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Adaptability of the TRSIM Model to Some Changes in Agents Behaviour
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Trust transferability among similar contexts
Proceedings of the 4th ACM symposium on QoS and security for wireless and mobile networks
Cross-Situation Trust Reasoning
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
CRM: An efficient trust and reputation model for agent computing
Knowledge-Based Systems
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This paper proposes a new trust and reputation model to assist decision making process into agents in P2P environments, taking WSMO as the base for definition of tasks to contract. This work shows the integration of trust and reputation model and WSMO in two ways: 1) how agents use WSMO as ontology to define their requirements, responses, domain-dependent features and metrics; and 2) how the Web services discovery process in WSMO may be improved using trust and reputation criteria given by the model from data stored by consumer agents in previous interactions.