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The emergence and maintenance of cooperative behavior is a fascinating topic in evolutionary biology and social science. The public goods game (PGG) is a paradigm for exploring cooperative behavior. In PGG, the total resulting payoff is…

种群与进化 · 定量生物学 2019-07-15 Yan Li , Xinsheng Liu , Jens Christian Claussen , Wanlin Guo

Cooperative behaviour has been extensively studied as a choice between cooperation and defection. However, the possibility to not participate is also frequently available. This type of problem can be studied through the optional public…

种群与进化 · 定量生物学 2021-10-06 Shirsendu Podder , Simone Righi , Francesca Pancotto

There is a broad recognition that commitment-based mechanisms can promote coordination and cooperative behaviours in both biological populations and self-organised multi-agent systems by making individuals' intentions explicit prior to…

计算机科学与博弈论 · 计算机科学 2025-09-15 Ndidi Bianca Ogbo , Zhao Song , The Anh Han

Reputation and punishment are significant guidelines for regulating individual behavior in human society, and those with a good reputation are more likely to be imitated by others. In addition, society imposes varying degrees of punishment…

社会与信息网络 · 计算机科学 2025-11-25 Gui Zhang , Yichao Yao , Ziyan Zeng , Minyu Feng , Manuel Chica

In this paper we address the cooperation problem in structured populations by considering the prisoner's dilemma game as metaphor of the social interactions between individuals with imitation capacity. We present a new strategy update rule…

计算机科学与博弈论 · 计算机科学 2013-03-19 Ignacio Gomez Portillo

Punishment may deter antisocial behavior. Yet to punish is costly, and the costs often do not offset the gains that are due to elevated levels of cooperation. However, the effectiveness of punishment depends not only on how costly it is,…

种群与进化 · 定量生物学 2013-06-04 Luo-Luo Jiang , Matjaz Perc , Attila Szolnoki

Partner selection is an important process in many social interactions, permitting individuals to decrease the risks associated with cooperation. In large populations, defectors may escape punishment by roving from partner to partner, but…

adap-org · 物理学 2008-02-03 Dan Ashlock , Mark D. Smucker , E. Ann Stanley , Leigh Tesfatsion

Evolutionary game theory has been widely used to study the evolution of cooperation in social dilemmas where imitation-led strategy updates are typically assumed. However, results of recent behavioral experiments are not compatible with the…

物理与社会 · 物理学 2018-12-19 Ik Soo Lim , Peter Wittek

Previous studies suggest that punishment is a useful way to promote cooperation in the well-mixed public goods game, whereas it still lacks specific evidence that punishment maintains cooperation in spatial prisoner's dilemma game as well.…

物理与社会 · 物理学 2011-03-08 Qing Jin , Zhen Wang , Zhen Wang , Yi-Ling Wang

Social exclusion has been regarded as one of the most effective measures to promote the evolution of cooperation. In real society, the way in which social exclusion works can be direct or indirect. However, thus far there is no related work…

物理与社会 · 物理学 2022-08-30 Linjie Liu , Xiaojie Chen

Without contributing, defectors take more benefit from social resources than cooperators which is the reflection of a specific character of individuals. However, natural physical mechanisms of our society promote cooperation. Thus, in the…

种群与进化 · 定量生物学 2021-09-16 Bijan Sarkar

Finding ways to overcome the temptation to exploit one another is still a challenge in behavioural sciences. In the framework of evolutionary game theory, punishing strategies are frequently used to promote cooperation in competitive…

种群与进化 · 定量生物学 2022-07-06 Lucas S. Flores , Heitor C. M. Fernandes , Marco A. Amaral , Mendeli H. Vainstein

This article aims to clarify the case and the mechanism where sanction or punishment by institution can deliver the evolution of cooperation. Compared to peer sanctioning, institutional sanctioning may be sensitive to players' attitude…

种群与进化 · 定量生物学 2015-03-17 Jun-Sok Huhh

Cooperation underlies many natural and artificial systems. While voluntary participation can sustain cooperation without informational assumptions, real interactions are rarely anonymous, leaving the joint effects of participation and…

物理与社会 · 物理学 2026-01-27 Chen Shen , Zhao Song , Xinyu Wang , Lei Shi , Matjaž Perc , Zhen Wang , Jun Tanimoto

We consider the coupled dynamics of the adaption of network structure and the evolution of strategies played by individuals occupying the network vertices. We propose a computational model in which each agent plays a $n$-round Prisoner's…

物理与社会 · 物理学 2007-11-05 Feng Fu , Xiaojie Chen , Lianghuan Liu , Long Wang

In this paper, we study the problem of cost optimisation of individual-based institutional incentives (reward, punishment, and hybrid) for guaranteeing a certain minimal level of cooperative behaviour in a well-mixed, finite population. In…

种群与进化 · 定量生物学 2024-07-30 M. H. Duong , C. M. Durbac , T. A. Han

People tend to have their social interactions with members of their own community. Such group-structured interactions can have a profound impact on the behaviors that evolve. Group structure affects the way people cooperate, and how they…

种群与进化 · 定量生物学 2022-11-09 Yohsuke Murase , Christian Hilbe , Seung Ki Baek

The exclusion of freeriders from common privileges or public acceptance is widely found in the real world. Current models on the evolution of cooperation with incentives mostly assume peer sanctioning, whereby a punisher imposes penalties…

物理与社会 · 物理学 2012-12-07 Tatsuya Sasaki , Satoshi Uchida

How cooperation evolves and particularly maintains at a large scale remains an open problem for improving humanity across domains ranging from climate change to pandemic response. To shed light on how behavioral norms can resolve the social…

物理与社会 · 物理学 2024-01-25 Brian Mintz , Feng Fu

Combined prosocial incentives, integrating reward for cooperators and punishment for defectors, are effective tools to promote cooperation among competing agents in population games. Existing research concentrated on how to adjust reward or…

最优化与控制 · 数学 2023-12-06 Shengxian Wang , Ming Cao , Xiaojie Chen