Evolutionary dynamics of general group interactions in structured populations

进化动力学 公共物品游戏 人口 进化博弈论 公共物品 群(周期表) 双稳态 计算机科学 微观经济学 社会困境 动力学(音乐) 统计物理学 博弈论 进化生物学 生物 物理 经济 人口学 社会学 量子力学 声学
作者
Aming Li,Mark Broom,Jinming Du,Long Wang
出处
期刊:Physical review 卷期号:93 (2) 被引量:66
标识
DOI:10.1103/physreve.93.022407
摘要

The evolution of populations is influenced by many factors, and the simple classical models have been developed in a number of important ways. Both population structure and multiplayer interactions have been shown to significantly affect the evolution of important properties, such as the level of cooperation or of aggressive behavior. Here we combine these two key factors and develop the evolutionary dynamics of general group interactions in structured populations represented by regular graphs. The traditional linear and threshold public goods games are adopted as models to address the dynamics. We show that for linear group interactions, population structure can favor the evolution of cooperation compared to the well-mixed case, and we see that the more neighbors there are, the harder it is for cooperators to persist in structured populations. We further show that threshold group interactions could lead to the emergence of cooperation even in well-mixed populations. Here population structure sometimes inhibits cooperation for the threshold public goods game, where depending on the benefit to cost ratio, the outcomes are bistability or a monomorphic population of defectors or cooperators. Our results suggest, counterintuitively, that structured populations are not always beneficial for the evolution of cooperation for nonlinear group interactions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
张三坟应助點煙采纳,获得50
1秒前
狗妹那塞完成签到,获得积分10
1秒前
kb发布了新的文献求助10
1秒前
Akim应助科研通管家采纳,获得10
1秒前
1秒前
猪小猪完成签到,获得积分10
2秒前
liu完成签到 ,获得积分10
2秒前
草莓公主bb完成签到,获得积分10
3秒前
水三寿发布了新的文献求助10
4秒前
SciGPT应助科研通管家采纳,获得10
4秒前
布布爱吃炸鸡完成签到,获得积分10
4秒前
8R60d8应助饱满小兔子采纳,获得10
5秒前
乌拉乌拉发布了新的文献求助10
5秒前
5秒前
搬砖人完成签到,获得积分10
6秒前
1117完成签到 ,获得积分10
6秒前
6秒前
6秒前
可靠之玉应助柔甲采纳,获得10
6秒前
6秒前
藏繁完成签到,获得积分10
7秒前
祁鹤应助复杂的豆芽采纳,获得10
7秒前
7秒前
8秒前
毛豆爸爸应助lkk采纳,获得20
8秒前
蓝胖子发布了新的社区帖子
10秒前
霸气小珍发布了新的文献求助10
10秒前
大模型应助科研通管家采纳,获得10
10秒前
义气的嘉熙完成签到,获得积分20
11秒前
晶晶完成签到,获得积分10
11秒前
狂野松思完成签到,获得积分20
11秒前
vviolet发布了新的文献求助10
11秒前
11秒前
曦子曦子应助柯南采纳,获得10
12秒前
怕瓦落地发布了新的文献求助10
12秒前
斯文败类应助科研通管家采纳,获得10
14秒前
科研白菜完成签到,获得积分10
14秒前
干净的铅笔应助白耳猫采纳,获得10
15秒前
高分求助中
Evolution 2024
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
大平正芳: 「戦後保守」とは何か 550
Contributo alla conoscenza del bifenile e dei suoi derivati. Nota XV. Passaggio dal sistema bifenilico a quello fluorenico 500
Multiscale Thermo-Hydro-Mechanics of Frozen Soil: Numerical Frameworks and Constitutive Models 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2996313
求助须知:如何正确求助?哪些是违规求助? 2656692
关于积分的说明 7190248
捐赠科研通 2292267
什么是DOI,文献DOI怎么找? 1215095
科研通“疑难数据库(出版商)”最低求助积分说明 593071
版权声明 592795