AAAI Publications, Twenty-Second International Joint Conference on Artificial Intelligence

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Talking about Trust in Heterogeneous Multi-Agent Systems
Andrew Koster, Marco Schorlemmer, Jordi Sabater-Mir

Last modified: 2011-06-29


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.

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