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Collusion detection in online bridge

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date2010
Host publicationProceedings 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.
Place of PublicationMenlo Park, Calif.
PublisherAAAI
Pages1510-1515
Number of pages6
ISBN (Print)9781577354666
<mark>Original language</mark>English

Publication series

NameArtificial Intelligence

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.