作者:Rafael Frongillo 作者单位:Electrical Engineering and Computer Sciences University of California at Berkeley 加工时间:2013-11-24 信息来源:EECS 索取原文[132 页]
关键词:代理;私人信息;激励措施;激励信息抽取;凸分析;匹配特征定理 摘 要:This dissertation unifies and advances the theory of incentivized information elicitation. Using tools from convex analysis, we introduce a new model of elicitation with a matching characterization theorem which together encompass mechanism design, scoring rules, prediction markets, and other models. This lays a firm foundation on which the rest of the dissertation is built.