Collusion detection in online bridge
Collusion detection in online bridge
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 AI-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.
1510-1515
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
15 July 2010
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
Yan, Jeff
(2010)
Collusion detection in online bridge.
In Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010.
AAAI Press.
.
(doi:10.1609/aaai.v24i1.7531).
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Conference or Workshop Item
(Paper)
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 AI-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.
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Published date: 15 July 2010
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© 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Venue - Dates:
24th AAAI Conference on Artificial Intelligence, AAAI 2010, , Atlanta, United States, 2010-07-11 - 2010-07-15
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Local EPrints ID: 500792
URI: http://eprints.soton.ac.uk/id/eprint/500792
PURE UUID: 06ca814b-a9ee-44aa-a628-64d1d9a5e4a6
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Date deposited: 13 May 2025 16:49
Last modified: 13 May 2025 16:49
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Author:
Jeff Yan
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