Co-evolutionary dynamics with alterable updating rules in the prisoner’s dilemma game

Xuesong Liu, Sinan Feng, Tieshan Li
{"title":"Co-evolutionary dynamics with alterable updating rules in the prisoner’s dilemma game","authors":"Xuesong Liu, Sinan Feng, Tieshan Li","doi":"10.1109/DOCS55193.2022.9967773","DOIUrl":null,"url":null,"abstract":"The emergence of cooperation has attracted lots of attention in various areas, ranging from sociology to robotics. Evolutionary game theory provides a suitable way to study the evolution of cooperative agents in selfish populations. In this work, we focus on the co-evolution of strategies and updating mechanisms in the prisoner’s dilemma game. Three mechanisms are available in these heterogeneous systems, where the agent updates its strategy with the classic Moran updating, or the imitation updating, or the aspiration-driven updating. Notably, the innovative feature of the aspiration-driven rule allows the agents to choose other rules even the whole population adopts the aspiration rule at a certain time. Results indicate that the unify of imitation rules can be always achieved in the final populations. Moreover, the speed of rule’s unification is always greater than the speed of strategy’s fixation. Remarkably, the decrease of the initial number of Moran agents makes the fixation of defection slow down, which is conducive to cooperation.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DOCS55193.2022.9967773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The emergence of cooperation has attracted lots of attention in various areas, ranging from sociology to robotics. Evolutionary game theory provides a suitable way to study the evolution of cooperative agents in selfish populations. In this work, we focus on the co-evolution of strategies and updating mechanisms in the prisoner’s dilemma game. Three mechanisms are available in these heterogeneous systems, where the agent updates its strategy with the classic Moran updating, or the imitation updating, or the aspiration-driven updating. Notably, the innovative feature of the aspiration-driven rule allows the agents to choose other rules even the whole population adopts the aspiration rule at a certain time. Results indicate that the unify of imitation rules can be always achieved in the final populations. Moreover, the speed of rule’s unification is always greater than the speed of strategy’s fixation. Remarkably, the decrease of the initial number of Moran agents makes the fixation of defection slow down, which is conducive to cooperation.
囚徒困境博弈中具有可变更新规则的协同进化动力学
合作的出现引起了从社会学到机器人等各个领域的广泛关注。进化博弈论为研究自私群体中合作主体的进化提供了一种合适的方法。在这项工作中,我们重点研究了囚徒困境博弈中策略的共同进化和更新机制。在这些异构系统中有三种机制可用,其中代理使用经典的Moran更新、模仿更新或愿望驱动更新来更新其策略。值得注意的是,愿望驱动规则的创新特性允许行为人选择其他规则,即使整个群体在某一时刻采用了愿望驱动规则。结果表明,在最终种群中,总能实现模仿规则的统一。此外,规则统一的速度总是大于策略固定的速度。值得注意的是,Moran agent初始数量的减少使得背叛的固定变慢,有利于合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信