Talking about Trust in Heterogeneous Multi-Agent Systems
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2820-2820.
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.
@inproceedings{ijcai2011p482,
title = {Talking about Trust in Heterogeneous Multi-Agent Systems},
author = {Koster, Andrew and Sabater-Mir, Jordi and Schorlemmer, W. Marco},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2820--2820},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-482},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-482},
}
TY - CPAPER TI - Talking about Trust in Heterogeneous Multi-Agent Systems AU - Koster, Andrew AU - Sabater-Mir, Jordi AU - Schorlemmer, W. Marco T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2820 EP - 2820 DO - 10.5591/978-1-57735-516-8/IJCAI11-482 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-482 ER -Copied
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