DocumentCode :
3572354
Title :
Detecting Manipulation in Cup and Round Robin Sports Competitions
Author :
Russell, T. ; Van Beek, Peter
Author_Institution :
Cheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
Volume :
1
fYear :
2012
Firstpage :
285
Lastpage :
290
Abstract :
Some of the core attributes of sports are supposed to be integrity, honesty and sportsmanship. However, there have been numerous cases where individual athletes and teams have thrown games and colluded to manipulate sports competitions. Much of the previous work has focused on proving that some types of competitions are computationally hard to manipulate and thus possibly resistant to manipulation. In contrast, in this paper we focus on detecting patterns of manipulations in sports competitions by coalitions of teams. We show that it is possible to successfully detect certain patterns of manipulations in cups and round robins, two of the most common types of sports competitions. The practical benefit of our approach is a tool that can be used by competition organizers to highlight suspicious play within the competition and so aid in the detection of cheating coalitions.
Keywords :
game theory; pattern recognition; sport; cheating coalitions detection; competition organizers; core attributes; cup and round robin sports competitions; manipulation detection; pattern detection; sportsmanship; Computer science; Educational institutions; Games; Proposals; Resistance; Round robin; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
ISSN :
1082-3409
Print_ISBN :
978-1-4799-0227-9
Type :
conf
DOI :
10.1109/ICTAI.2012.46
Filename :
6495058
Link To Document :
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