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Permanent link (DOI): https://doi.org/10.7939/R3HM0Q

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Collusion Detection in Sequential Games Open Access

Descriptions

Other title
Subject/Keyword
Collusion detection
Extensive form games
Collusion prevention
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Mazrooei, Parisa
Supervisor and department
Michael Bowling (Computing Science)
Examining committee member and department
Michael Buro (Computing Science)
Robert Holte (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2012-09-28T13:59:04Z
Graduation date
2012-09
Degree
Master of Science
Degree level
Master's
Abstract
Collusion is the deliberate cooperation of two or more parties to the detriment of others. While this behaviour can be highly profitable for colluders (for example, in auctions and online games), it is considered illegal and unfair in many sequential decision-making domains and presents many challenging problems in these systems. In this thesis we present an automatic collusion detection method for extensive form games. This method uses a novel object, called a collusion table, that aims to capture the effects of collusive behaviour on the utility of players without committing to any particular pattern of behaviour. We also introduce a general method for developing collusive agents which was necessary to create a dataset of labelled colluding and normal agents. The effectiveness of our collusion detection method is demonstrated experimentally. Our results show that this method provides promising accuracy, detecting collusion by both strong and weak agents.
Language
English
DOI
doi:10.7939/R3HM0Q
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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