Evolutionary prisoner's dilemma game on graphs and social networks with external constraint | |
Zhang, Hui1; Gao, Meng2; Wang, Wenting3,4; Liu, Zhiguang5; Zhang, H (reprint author), Northwestern Polytech Univ, Sch Nat & Appl Sci, Dept Appl Math, Xian 710027, Shaanxi, Peoples R China. [email protected] | |
发表期刊 | JOURNAL OF THEORETICAL BIOLOGY |
ISSN | 0022-5193 |
2014-10-07 | |
卷号 | 358页码:122-131 |
关键词 | Evolution Of Cooperation Pair Approximation Diffusion Approximation External Enforcement Network |
DOI | 10.1016/j.jtbi.2014.05.038 |
产权排序 | [Zhang, Hui] Northwestern Polytech Univ, Sch Nat & Appl Sci, Dept Appl Math, Xian 710027, Shaanxi, Peoples R China; [Gao, Meng] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China; [Wang, Wenting] Northwest Univ Nationalities, Sch Math, Lanzhou 730000, Gansu, Peoples R China; [Wang, Wenting] Northwest Univ Nationalities, Inst Comp Sci, Lanzhou 730000, Gansu, Peoples R China; [Liu, Zhiguang] Henan Univ, Sch Math & Informat Sci, Kaifeng 475001, Henan, Peoples R China |
作者部门 | 海岸带信息集成与综合管理实验室 |
英文摘要 | A game-theoretical model is constructed to capture the effect of external constraint on the evolution of cooperation. External constraint describes the case where individuals are forced to cooperate with a given probability in a society. Mathematical analyses are conducted via pair approximation and diffusion approximation methods. The results show that the condition for cooperation to be favored on graphs with constraint is (b) over bar/(c) over bar > k/(A) over bar ((A) over bar = 1 +kp/(1 - p)), where (b) over bar and (c) over bar represent the altruistic benefit and cost, respectively, k is the average degree of the graph and p is the probability of compulsory cooperation by external enforcement. Moreover, numerical simulations are also performed on a repeated game with three strategies, always defect (ALLD), tit-for-tat (TFT) and always cooperate (ALLC). These simulations demonstrate that a slight enforcement of ALLC can only promote cooperation when there is weak network reciprocity, while the catalyst effect of TFT on cooperation is verified. In addition, the interesting phenomenon of stable coexistence of the three strategies can be observed. Our model can represent evolutionary dynamics on a network structure which is disturbed by a specified external constraint. (C) 2014 Elsevier Ltd. All rights reserved.; A game-theoretical model is constructed to capture the effect of external constraint on the evolution of cooperation. External constraint describes the case where individuals are forced to cooperate with a given probability in a society. Mathematical analyses are conducted via pair approximation and diffusion approximation methods. The results show that the condition for cooperation to be favored on graphs with constraint is (b) over bar/(c) over bar > k/(A) over bar ((A) over bar = 1 +kp/(1 - p)), where (b) over bar and (c) over bar represent the altruistic benefit and cost, respectively, k is the average degree of the graph and p is the probability of compulsory cooperation by external enforcement. Moreover, numerical simulations are also performed on a repeated game with three strategies, always defect (ALLD), tit-for-tat (TFT) and always cooperate (ALLC). These simulations demonstrate that a slight enforcement of ALLC can only promote cooperation when there is weak network reciprocity, while the catalyst effect of TFT on cooperation is verified. In addition, the interesting phenomenon of stable coexistence of the three strategies can be observed. Our model can represent evolutionary dynamics on a network structure which is disturbed by a specified external constraint. (C) 2014 Elsevier Ltd. All rights reserved. |
文章类型 | Article |
资助机构 | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology |
收录类别 | SCI |
语种 | 英语 |
关键词[WOS] | STRUCTURED POPULATIONS ; DIRECT RECIPROCITY ; HETEROGENEOUS POPULATIONS ; SNOWDRIFT GAME ; COOPERATION ; DYNAMICS ; ALTRUISM ; LATTICE ; SELECTION ; BREAKING |
研究领域[WOS] | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology |
WOS记录号 | WOS:000340336900011 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/8596 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 |
通讯作者 | Zhang, H (reprint author), Northwestern Polytech Univ, Sch Nat & Appl Sci, Dept Appl Math, Xian 710027, Shaanxi, Peoples R China. [email protected] |
作者单位 | 1.Northwestern Polytech Univ, Sch Nat & Appl Sci, Dept Appl Math, Xian 710027, Shaanxi, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 3.Northwest Univ Nationalities, Sch Math, Lanzhou 730000, Gansu, Peoples R China 4.Northwest Univ Nationalities, Inst Comp Sci, Lanzhou 730000, Gansu, Peoples R China 5.Henan Univ, Sch Math & Informat Sci, Kaifeng 475001, Henan, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Hui,Gao, Meng,Wang, Wenting,et al. Evolutionary prisoner's dilemma game on graphs and social networks with external constraint[J]. JOURNAL OF THEORETICAL BIOLOGY,2014,358:122-131. |
APA | Zhang, Hui,Gao, Meng,Wang, Wenting,Liu, Zhiguang,&Zhang, H .(2014).Evolutionary prisoner's dilemma game on graphs and social networks with external constraint.JOURNAL OF THEORETICAL BIOLOGY,358,122-131. |
MLA | Zhang, Hui,et al."Evolutionary prisoner's dilemma game on graphs and social networks with external constraint".JOURNAL OF THEORETICAL BIOLOGY 358(2014):122-131. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Evolutionary prisone(2281KB) | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论