Matrix-Based Method for the Analysis and Control of Networked Evolutionary Games: A Survey

IF 0.6 Q4 ECONOMICS Games Pub Date : 2023-02-28 DOI:10.3390/g14020022
Xinrong Yang, Zhenping Geng, Haitao Li
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Abstract

In this paper, a detailed survey is presented for the analysis and control of networked evolutionary games via the matrix method. The algebraic form of networked evolutionary games is firstly recalled. Then, some existing results on networked evolutionary games are summarized. Furthermore, several generalized forms of networked evolutionary games are reviewed, including networked evolutionary games with time delay, networked evolutionary games with bankruptcy mechanism, networked evolutionary games with time-varying networks, and random evolutionary Boolean games. The computational complexity of general networked evolutionary games is still challenging, which limits the application of the matrix method to large-scale networked evolutionary games. Future works are finally presented in the conclusion.
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基于矩阵的网络进化博弈分析与控制方法综述
本文通过矩阵方法对网络进化博弈的分析和控制进行了详细的综述。首先回顾了网络进化博弈的代数形式。然后,总结了网络进化博弈的一些已有结果。此外,还综述了网络进化博弈的几种广义形式,包括具有时间延迟的网络进化博弈、具有破产机制的网络进化对策、具有时变网络的网络演化对策和随机进化布尔对策。一般网络进化博弈的计算复杂性仍然具有挑战性,这限制了矩阵方法在大规模网络进化博弈中的应用。最后在结论部分介绍了未来的工作。
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来源期刊
Games
Games Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.60
自引率
11.10%
发文量
65
审稿时长
11 weeks
期刊介绍: Games (ISSN 2073-4336) is an international, peer-reviewed, quick-refereeing open access journal (free for readers), which provides an advanced forum for studies related to strategic interaction, game theory and its applications, and decision making. The aim is to provide an interdisciplinary forum for all behavioral sciences and related fields, including economics, psychology, political science, mathematics, computer science, and biology (including animal behavior). To guarantee a rapid refereeing and editorial process, Games follows standard publication practices in the natural sciences.
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