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
Reputation-Based Service Discovery in Multi-agents Systems
IWSCA '08 Proceedings of the 2008 IEEE International Workshop on Semantic Computing and Applications
Integrating Trust with Public Reputation in Location-Based Social Networks for Recommendation Making
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Maintenance-based trust for multi-agent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Trust management tools for internet applications
iTrust'03 Proceedings of the 1st international conference on Trust management
The agent reputation and trust (ART) testbed
iTrust'06 Proceedings of the 4th international conference on Trust Management
Resource virtualization and service selection in cloud logistics
Journal of Network and Computer Applications
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In competitive multi-agent systems, the act of requesting recommendations to evaluate the reputation of an agent is a cost. On the contrary, an agent computes the reliability of another agent without paying any price. This implies the necessity for the agent to decide in which measure to use the reputation with respect to the reliability when he must select the most promising interlocutors. In the past, two main schools of thinking emerged, one assuming the necessity of always exploiting both reliability and reputation, the other declaring that the use of reputation requires, in terms of cost, more disadvantages than advantages. In this paper, we try to evaluate the role of using reputation with respect to reliability, depending on some characteristics of the involved scenario, as the size of the agent population, the percentage of unreliable agents and the percentage of agents provided with a reputation model.