个人信息Personal Information
副教授
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
办公地点:开发区校区综合楼
联系方式:0411-62274432
电子邮箱:lukun@dlut.edu.cn
DRIS: Direct Reciprocity Based Image Score Enhances Performance in Collaborate Computing System
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论文类型:会议论文
发表时间:2017-01-01
收录刊物:CPCI-S
卷号:201
页面范围:505-513
关键字:Direct reciprocity; Indirect reciprocity; Evolutionary game; Collaborative computing
摘要:The key issue in collaborate computing systems is to induce agents work together towards a common task. Indirect reciprocity is a widely used method to promote cooperation. Image score is a classic indirect reciprocity mechanism which provided an insight on promoting cooperation. However, intuitively, people trust their own feelings more than other's opinions. Thus, in this paper, we introduce direct reciprocity into image score: when granting a service, a player should consider their own interaction histories in priority and consider image score if they have no interactions before. Extensive simulation results show that our proposed model can more effectively promote cooperation than classic image score under both complete and incomplete information.