Trust Mechanisms for Online Systems (Extended Abstract)
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2866-2866.
Abstract
The most prominent way to establish trust in online markets such as eBay are reputation systems that publish buyer feedback about a seller's past behavior. These systems, however, critically rely on assumptions that are rarely met in real-world marketplaces: first, it is assumed that there are no reporting costs and no benefits from lying so that buyers honestly report their private experiences. Second, it is assumed that every seller is long-lived, i.e. will continue to trade on the marketplace indefinitely and, third, it is assumed that sellers cannot whitewash, i.e. create new accounts once an old one is ran down. In my thesis, I address all of these assumptions and design incentive-compatible trust mechanisms that do not rely on any of the aforementioned assumptions. Moreover, I focus on designs that minimize common knowledge assumptions with respect to the players' valuations, costs and beliefs.
@inproceedings{ijcai2011p505,
title = {Trust Mechanisms for Online Systems (Extended Abstract)},
author = {Witkowski, Jens},
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 = {2866--2866},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-505},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-505},
}
TY - CPAPER TI - Trust Mechanisms for Online Systems (Extended Abstract) AU - Witkowski, Jens 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 - 2866 EP - 2866 DO - 10.5591/978-1-57735-516-8/IJCAI11-505 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-505 ER -Copied
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