Abstract
The selection of an appropriate competition format is critical for both the success and credibility of any competition, both real and simulated. In this paper, the automated parallelism offered by the RoboCupSoccer 2D simulation league is leveraged to conduct a 28,000 game round-robin between the top 8 teams from RoboCup 2012 and 2013. A proposed new competition format is found to reduce variation from the resultant statistically significant team performance rankings by 75 % and 67 %, when compared to the actual competition results from RoboCup 2012 and 2013 respectively. These results are statistically validated by generating 10,000 random tournaments for each of the three considered formats and comparing the respective distributions of ranking discrepancy.
Cite
CITATION STYLE
Budden, D., Wang, P., Obst, O., & Prokopenko, M. (2015). Simulation leagues: Analysis of competition formats. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 8992, pp. 183–194). Springer Verlag. https://doi.org/10.1007/978-3-319-18615-3_15
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