An adaptive exploration mechanism for Q-learning in spatial public goods games DOI

Shaofei Shen,

Xuejun Zhang, Ao‐Bo Xu

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 189, P. 115705 - 115705

Published: Nov. 7, 2024

Language: Английский

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

Gui Zhang,

Yichao Yao, Ziyan Zeng

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 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.

Language: Английский

Citations

1

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

Juan Wang,

Zhuo Liu,

Yan Xu

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(3)

Published: March 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.

Language: Английский

Citations

1

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

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: unknown, P. 116046 - 116046

Published: Jan. 1, 2025

Language: Английский

Citations

0

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

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0317923 - e0317923

Published: Jan. 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.

Language: Английский

Citations

0

Effects of higher-order interactions on the evolution of cooperative behavior in hyperbolic scale-free network DOI

Ke-Xuan Chen,

Yingqing Zhang, Ming Luo

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(2)

Published: Feb. 1, 2025

This study proposes an innovative hypergraph model to explore the effects of higher-order interactions on evolution cooperative behavior in a hyperbolic scale-free network. By adjusting heterogeneity coefficient and clustering network, four distinct network structures with notable differences can be obtained. We then map pairwise three-way 2-hyperedges 3-hyperedges, constructing interactions. Our findings reveal that when proportion exceeds critical threshold, tendencies exhibit explosive growth, leading bistable phenomenon coexisting cooperation defection. The system's average degree significantly influences mass initial cooperators needed maintain stable behavior. structure shows complex, non-linear cooperation. In low-conditions, increasing acts suppress appearance phenomena, while high conditions, it promote. Increasing tends phenomena both low conditions. Furthermore, heterogeneity, clustering, noise factors are non-monotonic, exhibiting inverted U-shaped patterns transition points. These provide new theoretical perspectives for understanding diverse real-world scenarios suggest need dynamic, context-specific approaches designing strategies promote

Language: Английский

Citations

0

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

Qingrong Wu,

Dun Han

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 194, P. 116166 - 116166

Published: Feb. 25, 2025

Language: Английский

Citations

0

The coevolution of cooperation: Integrating Q-learning and occasional social interactions in evolutionary games DOI
Jiaying Lin,

Pinduo Long,

Jinfeng Liang

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 194, P. 116165 - 116165

Published: Feb. 26, 2025

Language: Английский

Citations

0

Harnessing LLMs and GABMs: New frontiers in epidemic modeling and evolutionary games DOI
Jiaxing Chen, Juan Wang, Chengyi Xia

et al.

Physics of Life Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Evolutionary dynamics of spatial public goods games with insurance mechanisms DOI
Rui Ding,

Xian‐Jia Wang,

Ji Quan

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 195, P. 116295 - 116295

Published: March 23, 2025

Language: Английский

Citations

0

Reputation in public goods cooperation under double Q-learning protocol DOI
Kai Xie, Attila Szolnoki

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 196, P. 116398 - 116398

Published: April 9, 2025

Language: Английский

Citations

0