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 : 11-15 July 2010, Atlanta, Georgia, USA. Artificial Intelligence . AAAI, Menlo Park, Calif., pp. 1510-1515. ISBN 9781577354666

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Abstract

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.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
?? special track -- challenges in ai ??
ID Code:
77685
Deposited By:
Deposited On:
18 Jan 2016 09:00
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 03:44