计算机科学与探索2015，Vol.9Issue(12)：1471-1482,12.DOI:10.3778/j.issn.1673-9418.1509099
社群智能系统中基于用户信誉度的激励机制
User Reputation-Based Participatory Incentive Mechanism in Social and Commu-nity Intelligence Systems
摘要
Abstract
The sustained participation and service reliability provided by the node are essential to the data collection service provided by the social and community intelligence system. This paper proposes a reputation-based participatory incentive mechanism (RPIM) to promote the reliability of the collecting data and ensure the enthusiasm and persis-tence on the participation of the nodes. The proposed mechanism evaluates participants in terms of data reliability and bidding reliability to create a reputation model based on game theory. The incentive mechanism based on such reputation model motivates participants to collect reliable data in social and community intelligence systems, while minimizing incentive cost for maintaining the sufficient number of reliable participants. Simulations are conducted in different scenarios to test the performance of RPIM. The results show that RPIM remarkably increases the winning probability of participants who provide accurate data and reduces the cost for retaining the sufficient number of participants.关键词
社群智能/信誉度模型/参与式激励/多维反向拍卖/博弈论Key words
social and community intelligence/reputation model/participatory incentive/multidimensional reverse auction/game theory分类
信息技术与安全科学引用本文复制引用
李婕,王兴伟,刘睿..社群智能系统中基于用户信誉度的激励机制[J].计算机科学与探索,2015,9(12):1471-1482,12.基金项目
The National Natural Science Foundation of China under Grant Nos. 61502092, 61272529 (国家自然科学基金) （国家自然科学基金）
the National Science Foundation for Distinguished Young Scholars of China under Grant Nos. 61225012, 71325002 (国家杰出青年基金) （国家杰出青年基金）
the Joint Research Foundation of China MOE and China Mobile under Grant No. MCM20130391 (教育部-中国移动科研基金) （教育部-中国移动科研基金）
the BaiQianWan Talents Program of Liaoning Province under Grant No. 2013921068 (辽宁省百千万人才工程资助项目). （辽宁省百千万人才工程资助项目）
