@inproceedings{a14ddac2b8d948a9adee0511026875b3,
title = "Kick extraction for reducing uncertainty in RoboCup logs",
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{\textquoteright} 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.",
keywords = "clustering, Earth Mover{\textquoteright}s Distance (EMD), feature extraction, RoboCup, strategy analysis",
author = "Tomoharu Nakashima and Satoshi Mifune and Jordan Henrio and Oliver Obst and Peter Wang and Mikhail Prokopenko",
year = "2015",
doi = "10.1007/978-3-319-20618-9_61",
language = "English",
isbn = "9783319206172",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "622--633",
editor = "Sakae Yamamoto",
booktitle = "Human interface and the management of information",
address = "United States",
note = "17th International Conference on Human-Computer Interaction, HCI International 2015 ; Conference date: 02-08-2015 Through 07-08-2015",
}