Browse by author
Lookup NU author(s): Dr Jeff Yan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Collusion is a major unsolved security problem in online bridge: by illicitly exchanging card information over the telephone, instant messenger or the like, cheat ers can gain huge advantages over honest players. It is very hard if not impossible to prevent collusion from happening. Instead, we motivate an Al-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. Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Author(s): Yan J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the National Conference on Artificial Intelligence
Year of Conference: 2010
Publisher: Association for the Advancement of Artificial Intelligence
Library holdings: Search Newcastle University Library for this item