Evolution of cooperation in heterogeneous populations with asymmetric payoff distribution DOI
Zhixue He,

Xiaoyue Wang,

Qiwen Zhao

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(11)

Опубликована: Ноя. 1, 2024

The emergence and maintenance of cooperation is a complex intriguing issue, especially in the context widespread asymmetries interactions that arise from individual differences real-world scenarios. This study investigates how asymmetric payoff distribution affects public goods games by considering population composed two types individuals: strong weak. asymmetry reflected fact players receive larger share pool compared to weak players. Our results demonstrate can promote well-mixed populations trigger co-evolution between sub-populations In structured populations, however, effect on contingent proportion extent their share, which either foster or inhibit cooperation. By adjusting interaction probability based spatial arrangement lattice networks, we find moderate probabilities most effectively maintain provides valuable insights into dynamics under conditions, highlighting role asymmetrical evolution

Язык: Английский

The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold DOI

G Zhang,

Yichao Yao, Ziyan Zeng

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(1)

Опубликована: Янв. 1, 2025

Reputation and punishment are significant guidelines for regulating individual behavior in human society, those with a good reputation more likely to be imitated by others. In addition, society imposes varying degrees of behaviors that harm the interests groups different reputations. However, conventional pairwise interaction rules mechanism overlook this aspect. Building on observation, paper enhances spatial public goods game two key ways: (1) We set threshold use regulate defection players low-reputation while allowing high-reputation groups. (2) Differently from rules, we combine payoff as fitness individuals ensure both high have higher chance being imitated. Through simulations, find threshold, combined stringent environment, can substantially enhance level cooperation within population. This provides deeper insight into widespread phenomenon emerges among individuals.

Язык: Английский

Процитировано

1

Adaptive payoff-driven interaction in networked snowdrift games DOI
Xiaojin Xiong, Yichao Yao, Minyu Feng

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 185, С. 115187 - 115187

Опубликована: Июнь 24, 2024

Язык: Английский

Процитировано

4

Supervised cooperation on interdependent public goods games DOI

Ting Ling,

Zhang Li, Minyu Feng

и другие.

Applied Mathematics and Computation, Год журнала: 2024, Номер 492, С. 129249 - 129249

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

4

Sustainability of the Rural Environment Based on a Tripartite Game Among Government, Enterprises, and Farmers Under the Prisoner’s Dilemma DOI Open Access
You-Shuai Feng,

Rongning Chen,

Xu Guobao

и другие.

Sustainability, Год журнала: 2025, Номер 17(2), С. 436 - 436

Опубликована: Янв. 8, 2025

In recent years, with rapid economic development, the importance of environmental governance has gradually been overlooked. The increasing pollution caused by rural sewage discharge posed a significant threat to local ecological environment. this context, paper treats governments, village enterprises, and farmers as game subjects, integrating them prisoner’s dilemma theory construct tripartite model. By analyzing equilibrium points stability model, well effects parameters in dynamic equations, reveals evolution strategic choices made different participants. results indicate that optimal strategy for governments is strict regulation, enterprises tend adopt purification measures, while weigh costs benefits exhibit negative attitude toward participating governance. Finally, from practical perspective, offers suggestions improving protection engaging farmers, aiming promote sustainable development

Язык: Английский

Процитировано

0

Effect of community learning mechanism on cooperation in conflict societies DOI
Zhou Meng, Yanlong Yang, Shuwen Xiang

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер unknown, С. 116046 - 116046

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Evolutionary game on mutually influenceing double-layer network DOI Creative Commons
Qing-lin Hao, Haochun Yang, Yao Sun

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0317923 - e0317923

Опубликована: Янв. 31, 2025

In recent years, coupled double-layer networks have played an increasingly critical role in evolutionary game theory. Research indicates that these more accurately reflect real-world relationships between individuals. However, current studies mainly focus on unidirectional influence within networks. Based this, we propose a strongly network cooperation evolution model. Strength individuals are located the upper layer, influencing strategy choices of ordinary lower and vice versa. Monte Carlo simulations show strength can effectively enhance overall group cooperation. Under low temptation to defect, maintains high rate; under temptation, presence prevents from falling into total defection, helping escape defection dilemma improve levels.

Язык: Английский

Процитировано

0

On evolution of agent behavior under limited gaming time with reinforcement learning DOI
Dandan Li,

Qingrong Wu,

Dun Han

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 194, С. 116166 - 116166

Опубликована: Фев. 25, 2025

Язык: Английский

Процитировано

0

Dynamic evolution in multi-player networked trust games with graded punishment DOI

Juan Wang,

Zhuo Liu,

Yan Xu

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(3)

Опубликована: Март 1, 2025

Trust holds a pivotal position in contemporary society. Yet, the question of how to elevate and sustain trust among selfish individuals poses formidable challenge. To delve into this issue, we incorporate graded punishment strategy networked N-player game, aiming observe progression trust-related behavior. Within game framework, punishers uphold certain degree participants by incurring an extra expense exclude those who betray trust. By conducting numerous Monte Carlo simulation experiments, uncover that can effectively curtail untrustworthy conduct significant degree, potentially even eliminating such behavior, thereby fostering improvement overall level within population. However, deploy strategy, it is imperative strike balance between penalty cost amount, ensuring natural evolution system not unduly disrupted. This crucial for preserving stability sustainability while safeguarding Broadly speaking, our study offers fresh insights approaches enhancing maintaining society, also highlighting avenues challenges future research, particularly realm applying strategies.

Язык: Английский

Процитировано

0

The nested structures of higher-order interactions promote the cooperation in complex social networks DOI
Yan Xu, Dawei Zhao, Jiaxing Chen

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 185, С. 115174 - 115174

Опубликована: Июнь 25, 2024

Язык: Английский

Процитировано

2

Memory and target payoff enhance cooperation in evolutionary social dilemmas DOI
Xinle Lin,

Jianhe Li,

Suohai Fan

и другие.

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2024, Номер 34(8)

Опубликована: Авг. 1, 2024

We proposed a neighbor selection mechanism based on memory and target payoff, where the payoff is maximum value of group’s average expected payoff. According to this mechanism, individuals prioritize selecting neighbors whose payoffs in last M rounds are close for strategy learning, aiming maximize Simulation results grid-based Prisoner’s Dilemma Snowdrift games demonstrate that can significantly improve cooperation level. Furthermore, longer length, higher Overall, combination lead emergence persistence social dilemmas as motivated cooperate both their past experiences future goals. This interplay highlights significance taking into account numerous variables comprehending promoting within evolutionary frameworks.

Язык: Английский

Процитировано

1