Collusion detection in online bridge

Yan, Jeff (2010) Collusion detection in online bridge. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence and the Twenty-Second Innovative Applications of Artificial Intelligence Conference. Artificial Intelligence . AAAI, Menlo Park, Calif., pp. 1510-1515. ISBN 9781577354666

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Collusion is a major unsolved security problem in online bridge: by illicitly exchanging card informa- tion over the telephone, instant messenger or the like, cheaters can gain huge advantages over honest play- ers. It is very hard if not impossible to prevent collu- sion from happening. Instead, we motivate an AI-based detection approach and discuss its challenges. We chal- lenge 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.

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18 Jan 2016 09:00
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21 Sep 2023 03:49