基于差异化策略和非对称收益分配的空间公共物品博弈模型

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Xiaonan Wang , Gang Lu , Peng Guo
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引用次数: 0

摘要

社交困境经常出现在多人游戏环境中,个体必须平衡个人利益与集体利益。公共物品博弈(public goods game, PGG)是研究此类困境的典型模型,它通常假设同质策略和均匀的收益分配,过度简化了现实世界的合作行为。本文提出了一种包含差异化策略(个体对不同邻居采取不同策略)和非对称收益分配机制的格子网络空间PGG模型。参与者分为纯合作者、纯叛逃者和混合策略参与者,根据策略差异,收益分配不均匀。通过大量的模拟,我们分析了这些特征如何影响合作动态。结果表明,差异化战略显著降低了合作出现的门槛,尤其是在与不对称投资相结合的情况下。即使在低增强因子下,这种分化也会促进更早、更广泛的合作行为。不对称的收益分配通过激励合作和加速背叛的减少而放大了这种效应。混合策略参与者作为过渡代理,通过适应性收益反应平滑从背叛到稳定合作的转变。进一步从网络规模、网络结构和初始合作率的角度进行鲁棒性检验,证实了这些动态的鲁棒性,从而突出了模型的一般适用性。这些发现为在复杂的社会系统中设计更有效的促进合作的政策和激励结构提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling Spatial Public Goods Games with Differentiated Strategies and Asymmetric Payoff Allocation
Social dilemmas often arise in multiplayer settings where individuals must balance personal interests against collective gains. The public goods game (PGG), a canonical model for studying such dilemmas, typically assumes homogeneous strategies and uniform payoff allocation, oversimplifying real-world cooperative behavior. This study introduces a spatial PGG model on lattice networks that incorporates differentiated strategies, where individuals adopt distinct strategies toward different neighbors, and asymmetric payoff allocation mechanisms. Players are categorized as pure cooperators, pure defectors, or mixed strategy players, and payoffs are distributed unevenly based on strategic differentiation. Through extensive simulations, we analyze how these features influence cooperation dynamics. Results show that differentiated strategies significantly lower the threshold for cooperation to emerge, particularly when combined with asymmetric investment. Even under low enhancement factors, such differentiation fosters earlier and more widespread cooperative behavior. Asymmetric payoff allocation amplifies this effect by incentivizing cooperation and accelerating the decline of defection. Mixed strategy players act as transitional agents, smoothing the shift from defection to stable cooperation through adaptive payoff responses. Further robustness checks from the perspectives of network size, network structure, and initial cooperation rate confirm the robustness of these dynamics, thereby highlighting the general applicability of the model. These findings offer valuable insights for designing more effective cooperation-promoting policies and incentive structures in complex social systems.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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