Interactive diversity promotes cooperation in multi-games

IF 1.6 4区 物理与天体物理 Q3 PHYSICS, CONDENSED MATTER
Ben Wang, Linjiang Yang, Xinguo He, Yichen Yang, Haochun Yang
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Abstract

In game theory, it is an important topic to study the emergence and maintenance of group cooperative behavior based on evolutionary game and complex network. However, in-depth analysis of cooperative behavior persistence becomes a significant challenge due to the betrayal induced by the temptation of high payoff and the difficulty of cooperation under high social dilemmas. Recent studies show that mixed strategy games and multi-game mechanics can greatly improve the ability of individuals with interactive diversity to resist temptation. In our study, we employ a model that integrates the Prisoner’s Dilemma (PD) and Snowdrift (SD) games, allowing players to engage in different types of games with their neighbors, thereby creating a more stable cooperative environment. The concept of the memory step enables players to maintain their strategies over a certain number of moves. When combined with the side-game mechanism, this significantly bolsters resistance to betrayal and encourages cooperative behavior. Numerical simulations were conducted to uncover the impact of the memory step and the sucker’s payoff on the evolution of cooperation, and to identify the optimal threshold for the memory step. This threshold balances the trade-off between cooperation and defection. The findings suggest that interactive diversity, facilitated by strategic memory steps and side-games, can effectively alleviate social dilemmas.

互动多样性促进了多人游戏中的合作
基于进化博弈和复杂网络的群体合作行为的产生和维持是博弈论中的一个重要课题。然而,由于高收益诱惑下的背叛和高社会困境下的合作难度,深入分析合作行为的持久性成为一个重大挑战。最近的研究表明,混合策略游戏和多游戏机制可以极大地提高具有互动多样性的个体抵抗诱惑的能力。在我们的研究中,我们采用了一个整合了囚徒困境(PD)和雪花漂移(SD)游戏的模型,允许玩家与他们的邻居参与不同类型的游戏,从而创造一个更稳定的合作环境。记忆步骤的概念使玩家能够在一定数量的移动中保持自己的策略。当与侧面游戏机制结合在一起时,这将大大增强玩家对背叛的抵抗力并鼓励合作行为。通过数值模拟揭示了记忆步骤和吸盘收益对合作进化的影响,并确定了记忆步骤的最优阈值。这个阈值平衡了合作与背叛之间的取舍。研究结果表明,通过策略性记忆步骤和侧面游戏促进的互动多样性可以有效缓解社会困境。
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
The European Physical Journal B
The European Physical Journal B 物理-物理:凝聚态物理
CiteScore
2.80
自引率
6.20%
发文量
184
审稿时长
5.1 months
期刊介绍: Solid State and Materials; Mesoscopic and Nanoscale Systems; Computational Methods; Statistical and Nonlinear Physics
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