Mining and Validation of Attacking Behavior in the Robocup 2D Simulation

Authors

Chen Bing, 1.Information Engineering University, ZhengZhou 450001, China; ;
Zhang Heng, 1.Information Engineering University, ZhengZhou 450001, China; ;
Zekai Cheng, 2. Anhui University of Technology, Maanshan 230009, China;
Dong Peng, 1.Information Engineering University, ZhengZhou 450001, China; ;
Lin Chao, 1.Information Engineering University, ZhengZhou 450001, China; ;

Abstract

Abstract: Robocup is an international academic competition which focuses on artificial intelligence and robotics. The 2D simulation is one of the earliest and most influential projects in Robocup. Attacking is the core behaviour of the simulated football game, as well as the attack recognition is considered as an important part in team-confrontations. This paper selects some active and contribution index of attacking, extracts lots of attacking behaviour data of the key agents, proposes two kinds of attacking patterns of 2D simulation, as ‘separate attack’ and ‘cooperative attack’, according to the human-player actions. The following simulation tests give the accuracy of ‘separate attack’ behaviour detection as 93%, while the ‘cooperative attack’ behaviour detection as 80%, which proves the existence of two attacking behaviour model and the rationality of the key parameters threshold setting.

Recommended Citation

Bing, Chen; Heng, Zhang; Cheng, Zekai; Peng, Dong; and Chao, Lin (2019) "Mining and Validation of Attacking Behavior in the Robocup 2D Simulation," Journal of System Simulation: Vol. 30: Iss. 12, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201812028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/28

First Page

4718

Revised Date

2018-07-16

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201812028

Last Page

4726

CLC

TP391.9

Recommended Citation

Chen Bing, Zhang Heng, Cheng Zekai, Dong Peng, Lin Chao. Mining and Validation of Attacking Behavior in the Robocup 2D Simulation[J]. Journal of System Simulation, 2018, 30(12): 4718-4726.

DOI

10.16182/j.issn1004731x.joss.201812028