USING A DATAWAREHOUSE TO EXTRACT KNOWLEDGE FROM ROBOCUP TEAMS

Isabel Gonzalez, Pedro Abreu, Luis Paulo Reis

2008

Abstract

RoboCup is a scientific and educational, international project that involves artificial intelligence, robotics and sport sciences. In these competitions, teams of all around the world participated in distinct leagues. In the begining of the Coach competition, one of RocoCup leagues,the goal of the researchers was to develop an agent (Coach that provides advices to teammates about how to act and with improve team performance. Using the resulting improved coach agent, with enhanced statistic calculation abilities, a huge amount of statistical data was gathered from the games held at Bremen 2006. This data was then stored and treated in a data warehouse system obtaining a good high level perspective/knowledge of the RoboCup simulated soccer tournament. According to the results, the team that represented our country, has a much more goal opportunities in comparison with the majority of the teams, but this team did not score many goals. In terms of more occupied regions, the best four teams in the tournament did not occupy many times the left and right wings, compared to others regions. In the future the our country team needs to develop new strategies that use these two areas preferrentialy in order to achieve better results.

References

  1. Kuhlmann, G., Knox, W., and Stone, P. (2006). Know thine enemy: A champion robocup coach agent. pages 1463-1468.
  2. Kuhlmann, G., Stone, P., and Lallinger, J. (2005). The ut austin villa 2003 champion simulator coach: A machine learning approach. pages 636-644. Springer Berlin / Heidelberg. ISBN 978-3-540-25046-3.
  3. Reis, L. and Lau, N. (2002). Coach unilang a standard language for coaching a (robo) soccer team. Lecture Notes in Computer Science, Volume 2377, pages 183- 192. Springer-Verlag, Berlin. ISBN 3-540-43912-9.
  4. Riley, P., Veloso, M., and Kaminka, G. (2002). An empirical study of coaching. pages 215-224. Springer-Verlag.
  5. Scerri, P., Pynadath, D., and Tambe, M. (2001). Adjustable autonomy in real-world multi-agent environments. in agents. pages 107-116. ISBN 978-1-57735-131-3.
  6. team, F. P. (2007). Fc portugal team oficial site. In Avaiable online at http://www.ieeta.pt/robocup/.
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Paper Citation


in Harvard Style

Gonzalez I., Abreu P. and Paulo Reis L. (2008). USING A DATAWAREHOUSE TO EXTRACT KNOWLEDGE FROM ROBOCUP TEAMS . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8111-36-4, pages 511-514. DOI: 10.5220/0001715405110514


in Bibtex Style

@conference{iceis08,
author={Isabel Gonzalez and Pedro Abreu and Luis Paulo Reis},
title={USING A DATAWAREHOUSE TO EXTRACT KNOWLEDGE FROM ROBOCUP TEAMS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2008},
pages={511-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001715405110514},
isbn={978-989-8111-36-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - USING A DATAWAREHOUSE TO EXTRACT KNOWLEDGE FROM ROBOCUP TEAMS
SN - 978-989-8111-36-4
AU - Gonzalez I.
AU - Abreu P.
AU - Paulo Reis L.
PY - 2008
SP - 511
EP - 514
DO - 10.5220/0001715405110514