An Opponent Formation Classifier for Simulated Robot Soccer-Reference-Cited by-同舟云学术

An Opponent Formation Classifier for Simulated Robot Soccer

Published:2024 Issue: Volume: Page:179-190
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Vasconcelos Davi M.^ORCID,Maximo Marcos R. O. A.^ORCID,Tasinaffo Paulo M.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-55015-7_15

Reference10 articles.

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2. Akiyama, H., Noda, I.: Multi-agent positioning mechanism in the dynamic environment. In: Visser, U., Ribeiro, F., Ohashi, T., Dellaert, F. (eds.) RoboCup 2007: Robot Soccer World Cup XI. RoboCup 2007. LNCS, vol. 5001, pp. 377–384. Springer, Berlin, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68847-1_38

3. Almeida, R., Reis, L.P., Jorge, A.M.: Analysis and forecast of team formation in the simulated robotic soccer domain. In: Lopes, L.S., Lau, N., Mariano, P., Rocha, L.M. (eds.) Progress in Artificial Intelligence. EPIA 2009. LNCS, vol. 5816, pp. 239–250. Springer, Berlin, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04686-5_20

4. Caliński, T., Harabasz, J.: A dendrite method for cluster analysis. Commun. Stat. 3(1), 1–27 (1974). https://doi.org/10.1080/03610927408827101, https://www.tandfonline.com/doi/abs/10.1080/03610927408827101

5. Faria, B., Reis, L., Lau, N., Castillo, G.: Machine learning algorithms applied to the classification of robotic soccer formations and opponent teams, pp. 344–349, July 2010. https://doi.org/10.1109/ICCIS.2010.5518540