How “punishing evil and promoting good” promotes cooperation in social dilemma

诱惑 惩罚(心理学) 困境 社会困境 国家(计算机科学) 囚徒困境 微观经济学 经济 社会心理学 心理学 博弈论 计算机科学 数学 几何学 算法
作者
Shanshan Zhao,Qiuhui Pan,Wenqiang Zhu,Mingfeng He
出处
期刊:Applied Mathematics and Computation [Elsevier BV]
卷期号:438: 127612-127612 被引量:5
标识
DOI:10.1016/j.amc.2022.127612
摘要

In this paper, based on the social dilemma model, we introduce the punishing evil and promoting good strategy, whose basic strategy is to cooperate, while to obtain benefits at the cost of payment. Specifically, when the person who punishes evil and promotes good plays a game with the cooperator, his contributions will bring the same benefits to both parties, reflecting the promoting good. However, when the person who punishes evil and promotes good plays a game with the defector, making the benefit of the defector loss and become his own benefit, reflecting the punishing evil. The results show that when only the role of punishing evil is considered, increasing punishment strength can easily make those punishing evil and promoting good and ordinary cooperators appear. But only increasing the punishment is not enough to weed out the defectors. When only the effect of promoting good is considered, under a smaller temptation to defection, the increase of the reward strength can transform the system from a full defection state to a full cooperation state. Whereas when the temptation is greater, the increase in the reward is not enough for the cooperator to survive and only defectors exist in the system at this time. In addition, there exist combinations of minimum values of punishment and reward that bring the system to a defector-free state. In conclusion, our study finds effective intervals for promoting the development of those who punish evil and promote good and ordinary cooperators, respectively.

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
大好人完成签到 ,获得积分10
刚刚
王多肉发布了新的文献求助10
2秒前
蓝莓小蛋糕完成签到 ,获得积分10
3秒前
铜锣烧完成签到 ,获得积分10
3秒前
xiaohardy完成签到,获得积分10
6秒前
只想顺利毕业的科研狗完成签到,获得积分0
6秒前
hyishu完成签到,获得积分10
6秒前
kaiqiang完成签到,获得积分0
7秒前
古炮完成签到 ,获得积分10
8秒前
独步天下完成签到,获得积分10
10秒前
Keyuuu30完成签到,获得积分0
12秒前
龙2024完成签到,获得积分10
21秒前
xueshidaheng完成签到,获得积分0
22秒前
新手请多指教完成签到,获得积分10
25秒前
27秒前
认真的月亮完成签到 ,获得积分10
27秒前
const完成签到,获得积分0
32秒前
34秒前
章诚完成签到,获得积分10
35秒前
38秒前
Brief完成签到,获得积分0
39秒前
大胖小子完成签到,获得积分10
39秒前
39秒前
甘sir完成签到 ,获得积分10
39秒前
shineshine完成签到 ,获得积分10
42秒前
研友_nvebxL完成签到,获得积分10
42秒前
欧阳完成签到,获得积分10
43秒前
xcuwlj完成签到 ,获得积分10
43秒前
包美莹完成签到 ,获得积分10
45秒前
BK_201完成签到,获得积分10
48秒前
风信子完成签到,获得积分0
49秒前
Helios完成签到,获得积分0
49秒前
qqshown完成签到,获得积分10
49秒前
abiorz完成签到,获得积分0
50秒前
研友_ZA2B68完成签到,获得积分0
50秒前
lylyspeechless完成签到,获得积分10
50秒前
蓝晶石完成签到,获得积分10
50秒前
egoistMM完成签到,获得积分10
51秒前
窗外是蔚蓝色完成签到,获得积分0
51秒前
JY'完成签到,获得积分0
51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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353178
求助须知:如何正确求助?哪些是违规求助? 8168047
关于积分的说明 17191451
捐赠科研通 5409215
什么是DOI,文献DOI怎么找? 2863646
邀请新用户注册赠送积分活动 1840978
关于科研通互助平台的介绍 1689834