Design of zero-determinant alliances in repeated multi-player games

IF 6.8 1区 计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Sciences Pub Date : 2025-08-01 Epub Date: 2025-03-07 DOI:10.1016/j.ins.2025.122070
Ying Wang , Yuanhua Wang , Yonglin Guo , Wenke Zang , Guodong Zhao
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Abstract

The formation of coalitions or alliances is ubiquitous in nature. This paper extends the zero-determinant (ZD) strategies from single players to subsets of players, to which we refer to as the ZD alliances. First, we model the dynamics of repeated multi-player games with a strategic alliance as an equivalent algebraic form and a simple formula is proposed to design a strategic ZD alliance. Thereafter, the modeling and designing methods for synchronous ZD alliance are considered. Finally, we apply the main results to a four-player prisoner's dilemma and analyze the influence of parameters on the probability of alliance cooperation. Our results can not only reduce the computation complexity, but also highlight the importance of coordination to succeed in large groups.
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重复多人游戏中零决定因素联盟的设计
联盟或联盟的形成在自然界是无处不在的。本文将零行列式(ZD)策略从单个参与者扩展到参与者的子集,我们称之为零行列式联盟。首先,我们以等价代数形式建立了具有战略联盟的重复多人博弈动力学模型,并提出了一个设计战略ZD联盟的简单公式。在此基础上,研究了同步ZD联盟的建模和设计方法。最后,我们将主要结果应用于四人囚犯困境,分析了参数对联盟合作概率的影响。我们的研究结果不仅降低了计算复杂度,而且突出了协作对于大群体成功的重要性。
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来源期刊
Information Sciences
Information Sciences 工程技术-计算机:信息系统
CiteScore
14.00
自引率
17.30%
发文量
1322
审稿时长
10.4 months
期刊介绍: Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.
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