Tomomi Kawarabayashi
Knowledge Representation and Processing Laboratory, Department of Information Science, Fukui University, Japan
J. Noshino
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
T. Morishita
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
T. Kubo
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
H. Shimora
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
M. Mashimo
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
K. Hiroshima
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
H. Ogura
Department of Human and Artifcial Intelligent Systems, Fukui University, Japan
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Published in: RobocCup-99 Team Descriptions. Simulation League
Linköping Electronic Conference Proceedings 4:35, p. 0-2
Linköping Electronic Articles in Computer and Information Science vol. 4 4:35, p. 0-2
Published: 1999-12-15
ISBN:
ISSN: 1650-3686 (print), 1650-3740 (online)
This paper discusses the design of the team Zeng99. The goal of robocup soccer simulation team Zeng99 is to show a performance of Hierarchical Fuzzy Intelligent Control system in the field of multi agent problems.
Junji NISHINO, Akihiro TAGAWA, Haruhiko SHIRAI, Tomohiro ODAKA, and Hisakazu OGURA. Hierarchical fuzzy intelligent controller for gymnastic bar actions. Journal of Advanced Computational Intelligence, 1999. to be appeard. Jens Rasmussen. Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. SMC, 13(3):257-266, 1983
