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ID:34296759
大小:1.21 MB
页数:59页
时间:2019-03-04
《基于演化阈值博弈的自愿接种策略研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、学校代码:10327学号:1120150622学术型硕士学位论文论文题目基于演化阈值博弈的自愿接种策略研究学院:信息工程学院专业:计算机应用技术研究方向:复杂网络、社会计算姓名:王炜浩指导教师:史本云完成日期:2018.04.11答辩日期:2018.05.30ExploringVoluntaryVaccinatingBehaviorsusingEvolutionaryN-personThresholdGamesADissertationSubmittedtoNanjingUniversityofFinanceandEconomicsFortheA
2、cademicDegreeofMasterofEngineeringBYWangWeihaoSupervisedby(Associate)ProfessorShiBenyunCollegeofInformationEngineeringNanjingUniversityofFinanceandEconomicsApril2018南京财经大学研究生论文目录摘要................................................................................................
3、..................IIIAbstract................................................................................................................IV第一章导论..........................................................................................................11.1背景与意义.............
4、................................................................................11.2研究内容.................................................................................................41.3结构安排...................................................................................
5、..............5第二章文献综述..................................................................................................62.1自愿接种策略........................................................................................62.2多人演化博弈................................................
6、........................................72.3多人演化阈值博弈................................................................................92.4本章小结.................................................................................................9第三章背景知识介绍.............................
7、...........................................................103.1复杂网络概述......................................................................................103.1.1复杂网络定义..........................................................................103.1.2度及度分布.....................
8、.........................................................103.1.3复杂网络
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