Identifying beneficial teammates using multi-dimensional trust
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Partner Selection Mechanisms for Agent Cooperation
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Teammate Selection Using Multi-dimensional Trust and Attitude Models
Trust in Agent Societies
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When agents form a team to solve a given problem, a critical step in improving performance is selecting beneficial teammates by identifying the helpfulness of other agents. To maximize its performance, an agent must consider the trustworthiness of potential teammates relative to multiple behavioral constraints. This multidimensional trustworthiness assessment is shown to be of significant benefit in solving the team formation problem. This research introduces the concept of attitude to assert how much an agent should trust other agents by identifying the most influential facet among multiple trustworthiness assessments. In this sense, attitudes define how an agent selects beneficial teammates given different situations. In addition, this research shows how those attitudes are learned and aid in teammate selection.