JACIII Vol.15 No.2 pp. 156-163
doi: 10.20965/jaciii.2011.p0156


Integrated Decision-Making System for Robot Soccer

Ján Vaščák* and Kaoru Hirota**

*Technical University of Košice, Letná 9, 042 00 Košice, Slovakia

**Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

December 18, 2010
January 25, 2011
March 20, 2011
robot soccer, multiagent systems, marketdriven approach, nearness diagram navigation, fuzzy cognitive map
This paper deals with the design of an integrated decision-making system for robot soccer. Three main tasks groups of decision-making are discussed based on an analysis of artificial intelligence means used by individual teams – choice of playing strategy, navigation, and kicking. The paper shows that crisp splitting of these decision-making groups is suspicious, and, instead, the use of a convenient implementation means to keep them together is recommended. In this case, fuzzy cognitive maps are introduced whose role is to integrate decision tasks, which is the main contribution of this paper. The paper describes a new design for kicking decisions. The system was successfully tested in the simulator Webots and some concluding remarks are made.
Cite this article as:
J. Vaščák and K. Hirota, “Integrated Decision-Making System for Robot Soccer,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.2, pp. 156-163, 2011.
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