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

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

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

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

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Effect of community learning mechanism on cooperation in conflict societies

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

Опубликована: Янв. 1, 2025

Язык: Английский

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Evolutionary game on mutually influenceing double-layer network

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

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

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(2)

Опубликована: Фев. 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

Язык: Английский

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On evolution of agent behavior under limited gaming time with reinforcement learning

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

Опубликована: Фев. 25, 2025

Язык: Английский

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

Chaos Solitons & Fractals, Год журнала: 2025, Номер 194, С. 116165 - 116165

Опубликована: Фев. 26, 2025

Язык: Английский

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Harnessing LLMs and GABMs: New frontiers in epidemic modeling and evolutionary games

Physics of Life Reviews, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

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Evolutionary dynamics of spatial public goods games with insurance mechanisms

Chaos Solitons & Fractals, Год журнала: 2025, Номер 195, С. 116295 - 116295

Опубликована: Март 23, 2025

Язык: Английский

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Reputation in public goods cooperation under double Q-learning protocol

Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116398 - 116398

Опубликована: Апрель 9, 2025

Язык: Английский

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