Abstract
In this article, we propose a behavior generation approach with human instruction to improve the strategy of the RoboCup soccer 3D simulation team. Many teams implement their strategies based on the programmer’s own knowledge about soccer. That is, the programmers have to write action rules that cover any situation on the soccer field. Although it is clear that this is not the best approach, there are only a few researchers who have tackled this problem. Here, we solve the problem using human instruction to improve the manually implemented behavior of soccer robots. It is shown that the team performance is improved by the rules generated by this approach.
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This work was presented in part at the 16th International Symposium on Artificial Life and Robotics, Oita, Japan, January 27–29, 2011
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Nakamura, Y., Nakashima, T. On the use of human instruction for improving the behavior of RoboCup soccer agents. Artif Life Robotics 16, 288–291 (2011). https://doi.org/10.1007/s10015-011-0922-z
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DOI: https://doi.org/10.1007/s10015-011-0922-z