@inproceedings{3b316a473a784f95804ce7c8e78a4dd8,
title = "Collusion detection in online bridge",
abstract = "Collusion is a major unsolved security problem in online bridge: by illicitly exchanging card information over the telephone, instant messenger or the like, cheaters can gain huge advantages over honest players. It is very hard if not impossible to prevent collusion from happening. Instead, we motivate an Al-based detection approach and discuss its challenges. We challenge the AI community to create automated methods for detecting collusive traces left in game records with an accuracy that can be achieved by human masters.",
keywords = "security problems, online games, collusion, Al-based detection",
author = "Jeff Yan",
year = "2010",
month = jul,
day = "15",
language = "English",
isbn = "9781577354666",
series = "Proceedings of the National Conference on Artificial Intelligence",
publisher = "AI Access Foundation",
pages = "1510--1515",
booktitle = "AAAI-10 / IAAI-10 - Proceedings of the 24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference",
address = "United States",
note = "24th AAAI Conference on Artificial Intelligence and the 22nd Innovative Applications of Artificial Intelligence Conference, AAAI-10 / IAAI-10 ; Conference date: 11-07-2010 Through 15-07-2010",
}