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On-line Access: 2022-07-21

Received: 2021-12-30

Revision Accepted: 2022-07-21

Crosschecked: 2022-05-05

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Qi DONG

https://orcid.org/0000-0002-1215-7588

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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.7 P.995-1001

http://doi.org/10.1631/FITEE.2100593


Existence and practice of gaming: thoughts on the development of multi-agent system gaming


Author(s):  Qi DONG, Zhenyu WU, Jun LU, Fengsong SUN, Jinyu WANG, Yanyu YANG, Xiaozhou SHANG

Affiliation(s):  China Academy of Electronics and Information Technology, Beijing 100049, China; more

Corresponding email(s):   dongqiouc@126.com, zhenyuwu1993@126.com, lujun_caeit@126.com

Key Words: 


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.

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%A Fengsong SUN
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A1 - Yanyu YANG
A1 - Xiaozhou SHANG
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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.

博弈的存在与实践:对多智能体博弈发展的思考

董琦1,吴镇宇1,2,陆军1,孙凤松1,3,王锦宇1,3,杨焱煜1,尚晓舟1
1中国电子科学研究院,中国北京市,100049
2北京理工大学信息与电子学院,中国北京市,100081
3北京邮电大学信息与通信工程学院 ,中国北京市,100876
摘要:博弈是宇宙中的一种普遍存在。本文从人类对博弈的认识过程出发,探讨了博弈的存在与实践,阐述了多智能体博弈研究难点,并基于演化思想,从系统论的角度出发,提出多智能体演化博弈理论框架。以下一代预警探测系统为例,介绍了多智能体演化博弈的应用实践。构建了多智能体自组织博弈决策模型和多智能体强化学习方法,对研究高维复杂环境下的组织化、体系化博弈行为具有重要意义。

关键词:博弈;多智能体系统;多智能体演化博弈;预警探测

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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