Proceedings

Talking about Trust in Heterogeneous Multi-Agent Systems

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2820-2820.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-482

Abstract

In heterogeneous multi-agent systems trust is necessary to improve interactions by enabling agents to choose good partners. Most trust models work by taking, in addition to direct experiences, other agents' communicated evaluations into account. However, in an open MAS other agents may use different trust models and the evaluations they communicate are based on different principles: as such they are meaningless without some form of alignment. My doctoral research gives a formal definition of this problem and proposes two methods of achieving an alignment.

Andrew Koster, Jordi Sabater-Mir, and W. Marco Schorlemmer. 2011. Talking about Trust in Heterogeneous Multi-Agent Systems. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2820–2820. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-482
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