Strategy dependent time delays shape cooperation in the spatial prisoner’s dilemma game

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Javad Mohamadichamgavi
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引用次数: 0

Abstract

Understanding how temporal aspects of decision-making influence cooperation in structured populations is crucial for explaining the emergence of cooperative behavior in nature and society. While spatial reciprocity has long been known to support cooperation by allowing cooperators to form protective clusters, the role of time delays, particularly those dependent on strategy choice, remains underexplored. Here, we investigate the effects of strategy-dependent time delays on cooperation dynamics in the weak Prisoner’s Dilemma game on square lattices. Using Monte Carlo simulations, we show that time delays can profoundly alter cooperation levels and spatial patterns. Our results reveal that asymmetries in delays can induce transitions between full cooperation, coexistence, and full defection. Also we show that strategy-dependent delays primarily alter the clustering dynamics of cooperators, which in turn drives the changes in overall cooperation behavior. We further show that the type of Prisoner’s Dilemma (weak or standard) influences only the quantitative level of cooperation, while the qualitative effect of delays remains unchanged.
空间囚徒困境博弈中策略依赖的时间延迟塑造了合作
理解决策的时间方面如何影响结构化群体中的合作,对于解释自然界和社会中合作行为的出现至关重要。虽然空间互易性长期以来一直被认为通过允许合作者形成保护性集群来支持合作,但时间延迟的作用,特别是依赖于策略选择的时间延迟的作用仍未得到充分探讨。本文研究了方格条件下弱囚徒困境博弈中策略依赖时间延迟对合作动力学的影响。通过蒙特卡罗模拟,我们发现时间延迟可以深刻地改变合作水平和空间模式。我们的研究结果表明,延迟的不对称性可以诱导完全合作、共存和完全背叛之间的过渡。策略依赖延迟主要改变合作者的聚类动态,进而驱动整体合作行为的变化。我们进一步表明,囚徒困境的类型(弱或标准)仅影响合作的定量水平,而延迟的定性影响保持不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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