[1]王 军,曹 雷,陈希亮,等.智能博弈对抗类型及其关键技术[J].计算机技术与发展,2022,32(S2):1-7.[doi:10. 3969 / j. issn. 1673-629X. 2022. S2. 001]
　WANG Jun,CAO Lei,CHEN Xi-liang,et al.Types and Key Technologies of Intelligent Game Confrontations[J].,2022,32(S2):1-7.[doi:10. 3969 / j. issn. 1673-629X. 2022. S2. 001]
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智能博弈对抗类型及其关键技术()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年S2期
页码:
1-7
栏目:
综述
出版日期:
2022-12-11

文章信息/Info

Title:
Types and Key Technologies of Intelligent Game Confrontations
文章编号:
1673-629X(2022)S2-0001-07
作者:
王 军1 ; 曹 雷1 ; 陈希亮1 ; 陈 英2
1. 陆军工程大学 指挥控制工程学院,江苏 南京 210001;
2. 东部战区总医院 博士后科研工作站,江苏 南京 210002
Author(s):
WANG Jun1 ; CAO Lei1 ; CHEN Xi-liang1 ; CHEN Ying2
1. School of Command Information System,Army Engineering University,Nanjing 210001,China;
2. Jinling Hospital,Medical School of Nanjing University,Nanjing 210002,China
关键词:
博弈论; 智能化; 机器学习; 多智能体; 分形
Keywords:
game theory; intelligence; machine learning; multi-agents; fractal
分类号:
TP181
DOI:
10. 3969 / j. issn. 1673-629X. 2022. S2. 001
摘要:
指挥控制的未来发展方向是敏捷性、全域性和智能性,而敏捷性和全域性的实现依赖于智能性。 同时,智能性也是未来博弈对抗的主要发展趋势,解决智能博弈对抗主要存在建模难、计算难和泛化难等问题,三大难题的破解需要多个学科之间的深度融合。 基于博弈理论的各类模型和高效的机器学习算法的出现使得多种解决博弈对抗的算法被提出,通过对现有算法进行分类、分析和对比,总结出七类典型的算法类型及其优缺点,并发掘出智能化博弈对抗在未来的重点发展方向。 同时,针对现有算法的收敛性过于严格和纯策略纳什均衡的存在性问题,结合分形、动力系统和元博弈等理论提出基于元均衡的通用算法模型、基于分形吸引子的收敛性统一框架和基于紧度量空间的不动点求解算法。
Abstract:
The future development direction of command and control is agility,globalization and intelligence. Intelligence is the basis andprerequisite for achieving agility and globalization. At the same time,intelligence is also the main trend of future game confrontations.Solving intelligent game confrontation mainly has problems such as difficulty in modeling, calculation and generalization. The solution ofthe three major problems requires deep integration between multiple disciplines. The emergence of various models based on game theoryand efficient machine learning algorithms has led to a variety of algorithms for solving game confrontations. Through classification,analysis and comparison of existing algorithms,seven typical algorithm types and their advantages and disadvantages are summarized.The key development directions of intelligent game confrontation in the future have been discovered. At the same time,in view of the excessively strict convergence of existing algorithms and the existence of pure strategy Nash equilibrium, combined with the theories offractal,dynamic system and meta - game,a general algorithm model based on meta - equilibrium, a unified framework for convergencebased on fractal attractors,and fixed point solution algorithm based on compact metric space are proposed.

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更新日期/Last Update: 2022-10-10