A fuzzy model of reputation in multi-agent systems
Proceedings of the fifth international conference on Autonomous agents
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Trust evaluation through relationship analysis
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
The Agent Reputation and Trust (ART) Testbed Architecture
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Argumentation in Artificial Intelligence
Argumentation in Artificial Intelligence
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Agents in Multi-Agent Systems depend on interactions with others to achieve their goals. Often, goals of agents conflict with each other, and agents can be unreliable or deceitful. Therefore, trust and reputation are key issues in this domain. As in human societies, software agents must interact with other agents in settings where there is the possibility that they can be exploited. This suggests the need for computational models of trust and reputation that can be used by software agents, therefore much research has investigated this issue over the past decade [1, 13, 4, 10, 15, 16, 8, 14]. This thesis concentrates on two important questions, therefore it is divided in two parts. The first question is what sources agents can use to build their trust of others upon. The second question is how agents can use trust and reputation concepts to form stable coalitions.