When selection pays: Structured public goods game with a generalized interaction mode

Author:

Han Ju1,Chen Xiaojie1ORCID,Szolnoki Attila2ORCID

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China 1 , Chengdu 611731, China

2. Institute of Technical Physics and Materials Science, Centre for Energy Research 2 , P.O. Box 49, H-1525 Budapest, Hungary

Abstract

The public goods game is a broadly used paradigm for studying the evolution of cooperation in structured populations. According to the basic assumption, the interaction graph determines the connections of a player where the focal actor forms a common venture with the nearest neighbors. In reality, however, not all of our partners are involved in every game. To elaborate this observation, we propose a model where individuals choose just some selected neighbors from the complete set to form a group for public goods. We explore the potential consequences by using a pair-approximation approach in a weak selection limit. We theoretically analyze how the number of total neighbors and the actual size of the restricted group influence the critical enhancement factor where cooperation becomes dominant over defection. Furthermore, we systematically compare our model with the traditional setup and show that the critical enhancement factor is lower than in the case when all players are present in the social dilemma. Hence, the suggested restricted interaction mode offers a better condition for the evolution of cooperation. Our theoretical findings are supported by numerical calculations.

Funder

National Natural Science Foundation of China

National Research, Development and Innovation Office

Publisher

AIP Publishing

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Suppressing defection by increasing temptation: The impact of smart cooperators on a social dilemma situation;Applied Mathematics and Computation;2024-10

2. Evolution of trust in N-player trust games with loss assessment;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-09-01

3. Cooperation dynamics of prisoner's dilemma games on an evolutionary weighted network with heterogeneous preferences;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-08-01

4. Two-stage strategy update rule based on learning cost in weak prisoner’s dilemma;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-07-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3