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Existence and practice of gaming: thoughts on the development of multi-agent system gaming
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Qi DONG, Zhenyu WU, Jun LU, Fengsong SUN, Jinyu WANG, Yanyu YANG, Xiaozhou SHANG. Existence and practice of gaming: thoughts on the development of multi-agent system gaming[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(7): 995-1001.
@article{title="Existence and practice of gaming: thoughts on the development of multi-agent system gaming",
author="Qi DONG, Zhenyu WU, Jun LU, Fengsong SUN, Jinyu WANG, Yanyu YANG, Xiaozhou SHANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="7",
pages="995-1001",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100593"
}
%0 Journal Article
%T Existence and practice of gaming: thoughts on the development of multi-agent system gaming
%A Qi DONG
%A Zhenyu WU
%A Jun LU
%A Fengsong SUN
%A Jinyu WANG
%A Yanyu YANG
%A Xiaozhou SHANG
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 7
%P 995-1001
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100593
TY - JOUR
T1 - Existence and practice of gaming: thoughts on the development of multi-agent system gaming
A1 - Qi DONG
A1 - Zhenyu WU
A1 - Jun LU
A1 - Fengsong SUN
A1 - Jinyu WANG
A1 - Yanyu YANG
A1 - Xiaozhou SHANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 7
SP - 995
EP - 1001
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2100593
Abstract: Game is a universal being in the universe. Starting with human understanding of the game process, we discuss the existence and practice of gaming, expound challenges in multi-agent gaming, and put forward a theoretical framework for a multiagent evolutionary game based on the idea of evolution and system theory. Taking the next-generation early warning and detection system as an example, we introduce the applications of multi-agent evolutionary game. We construct a multi-agent selforganizing game decision-making model and develop a multi-agent method based on reinforcement learning, which are significant in studying organized and systematic game behaviors in a high-dimensional complex environment.
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