JSW 2018 Vol.13(1): 66-71 ISSN: 1796-217X
doi: 10.17706/jsw.13.1.66-71
doi: 10.17706/jsw.13.1.66-71
Research on the Method for Estimating the Motion state of the Opponent's Agent in the Confrontation Environment
Yun Zhang1*, Yang Chen2
1School of Computer Science and Technology, Xi’anUniversityofScience&Technology, Xi’an710054 Shaanxi P.R.China.
2Thought Works Software Technologies (Xi'an) Ltd, Room 06, 6th floor, Building E Huanpu Science and Technology Industrial Park No.211 8th Tiangu Road, Hi-tech Development District Xi'an, 710077, ShanxiP.R.China.
Abstract—In this paper, we mainly study the method of estimating the opponent's behavior in the confrontation environment. Firstly, the method of estimating the motion state of the other agent is studied. Then, the state estimation algorithmis designed, and weighted average filter is used to improve the state estimation of moving targets. Finally, the effectiveness of the algorithm is proved by experiments. Emphasizes the importance of intelligent learning
Index Terms—Multi-agent,confrontation,motion state, estimating.
2Thought Works Software Technologies (Xi'an) Ltd, Room 06, 6th floor, Building E Huanpu Science and Technology Industrial Park No.211 8th Tiangu Road, Hi-tech Development District Xi'an, 710077, ShanxiP.R.China.
Abstract—In this paper, we mainly study the method of estimating the opponent's behavior in the confrontation environment. Firstly, the method of estimating the motion state of the other agent is studied. Then, the state estimation algorithmis designed, and weighted average filter is used to improve the state estimation of moving targets. Finally, the effectiveness of the algorithm is proved by experiments. Emphasizes the importance of intelligent learning
Index Terms—Multi-agent,confrontation,motion state, estimating.
Cite: Yun Zhang, Yang Chen, "Research on the Method for Estimating the Motion state of the Opponent's Agent in the Confrontation Environment," Journal of Software vol. 13, no. 1, pp. 66-71, 2018.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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