已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

When costly migration helps to improve cooperation

计算机科学 业务
作者
Hsuan‐Wei Lee,Colin Cleveland,Attila Szolnoki
出处
期刊:Chaos [American Institute of Physics]
卷期号:32 (9) 被引量:15
标识
DOI:10.1063/5.0100772
摘要

Motion is a typical reaction among animals and humans trying to reach better conditions in a changing world. This aspect has been studied intensively in social dilemmas where competing players’ individual and collective interests are in conflict. Starting from the traditional public goods game model, where players are locally fixed and unconditional cooperators or defectors are present, we introduce two additional strategies through which agents can change their positions of dependence on the local cooperation level. More importantly, these so-called sophisticated players should bear an extra cost to maintain their permanent capacity to evaluate their neighborhood and react accordingly. Hence, four strategies compete, and the most successful one can be imitated by its neighbors. Crucially, the introduction of costly movement has a highly biased consequence on the competing main strategies. In the majority of parameter space, it is harmful to defectors and provides a significantly higher cooperation level when the population is rare. At an intermediate population density, which would be otherwise optimal for a system of immobile players, the presence of mobile actors could be detrimental if the interaction pattern changes slightly, thereby blocking the optimal percolation of information flow. In this parameter space, sophisticated cooperators can also show the co-called Moor effect by first avoiding the harmful vicinity of defectors; they subsequently transform into an immobile cooperator state. Hence, paradoxically, the additional cost of movement could be advantageous to reach a higher general income, especially for a rare population when subgroups would be isolated otherwise.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
丘比特应助隐形的西牛采纳,获得10
刚刚
刚刚
搜集达人应助CH_LT采纳,获得10
1秒前
大力的冬萱应助Sherlock采纳,获得20
1秒前
Lucas应助dzjin采纳,获得10
3秒前
Thi完成签到,获得积分10
3秒前
科研通AI6.4应助盛夏如花采纳,获得10
4秒前
li发布了新的文献求助10
5秒前
yunny发布了新的文献求助20
5秒前
6秒前
希希发布了新的文献求助10
7秒前
科研通AI6.3应助xbt采纳,获得10
7秒前
7秒前
重要青柏发布了新的文献求助10
7秒前
WZH完成签到,获得积分10
8秒前
9秒前
zzl完成签到,获得积分10
10秒前
catch发布了新的文献求助10
10秒前
10秒前
11秒前
搜集达人应助叫兽采纳,获得10
12秒前
12秒前
12秒前
ijude1900发布了新的文献求助10
12秒前
wszl发布了新的文献求助10
13秒前
CH_LT发布了新的文献求助10
14秒前
李爱国应助亲爱的安德烈采纳,获得10
15秒前
tong发布了新的文献求助10
16秒前
luyun完成签到,获得积分10
18秒前
Parker发布了新的文献求助10
18秒前
niniyiya发布了新的文献求助10
18秒前
Hello应助李木槿采纳,获得10
18秒前
华仔应助zLin采纳,获得10
19秒前
luyun发布了新的文献求助10
22秒前
传奇3应助ijude1900采纳,获得10
23秒前
23秒前
wszl完成签到,获得积分20
24秒前
24秒前
25秒前
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Single Cell Analysis of the Tumor Microenvironment Landscape Across the Disease Spectrum of Multiple Myeloma 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
The Cambridge History of China 英文版16册 600
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7330275
求助须知:如何正确求助?哪些是违规求助? 8944604
关于积分的说明 18973538
捐赠科研通 6985307
什么是DOI,文献DOI怎么找? 3216703
关于科研通互助平台的介绍 2383293
邀请新用户注册赠送积分活动 2196243