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

Full text not available from this repository.

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:
ID Code:
77685
Deposited By:
Deposited On:
18 Jan 2016 09:00
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Jan 2020 05:53