• 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