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Abstracting Glicko-2 for Team Games

Williams, Garrick J

Abstract Details

2015, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
Research experiments were conducted to further the development of rating player skill within the context of online team games with small team sizes. Modern rating systems tend to display inferior performance when individually measuring players within a team of six or less members. This thesis proposes three modifications to rating update algorithms that abstract a match between two teams as multiple one-on-one matches. These update methods were designed for adaptation with existing skill rating systems based on Glicko or Glicko2. Using a robot soccer simulation environment, an automated testing suite was developed to show how these methods affect the behavior of Glicko2. The results of an experiment utilizing this suite show the viability of these methods and paint a picture for future research towards improving rating system performance for team games with small team sizes.
Fred Annexstein, Ph.D. (Committee Chair)
Kenneth Berman, Ph.D. (Committee Member)
Anca Ralescu, Ph.D. (Committee Member)
25 p.

Recommended Citations

Citations

  • Williams, G. J. (2015). Abstracting Glicko-2 for Team Games [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427962458

    APA Style (7th edition)

  • Williams, Garrick. Abstracting Glicko-2 for Team Games. 2015. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427962458.

    MLA Style (8th edition)

  • Williams, Garrick. "Abstracting Glicko-2 for Team Games." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427962458

    Chicago Manual of Style (17th edition)