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Published in:
2015 | OriginalPaper | Chapter
Kick Extraction for Reducing Uncertainty in RoboCup Logs
Authors : Tomoharu Nakashima, Satoshi Mifune, Jordan Henrio, Oliver Obst, Peter Wang, Mikhail Prokopenko
Published in: Human Interface and the Management of Information. Information and Knowledge in Context
Publisher: Springer International Publishing
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Abstract
The effectiveness of using log information in RoboCup soccer simulation 2D league is shown in this paper. Although it is not possible to exactly know a strategy that a team is taking, that strategy is well represented by how the players in the team kick during games. Extracted kicks such as passes and dribbles form a kick distribution, which hopefully represent the team’ strategy. In order to show the usefulness of the kick distribution, a series of computational experiments are conducted where the uncertainty in predicting the game results is reduced by grouping the games based on the kick distributions.