多赢家批准投票去认知
Multi-winner Approval Voting Goes Epistemic
LAMSADE, CNRS, PSL, Université Paris-Dauphine（巴黎多菲纳大学，PSL，CNRS，LAMSADE）
摘要：
认知投票将投票解释为关于基本事实的噪声信号。我们考虑的情况下，真理由一组客观的赢家，知道其基数的下限和上限。这种设置的一个典型问题是多标签注释与地面实况大小的先验知识的聚合。我们对噪声模型进行建模，并为此定义输出最佳获胜者集合的规则。我们报告多标签注释（我们收集）的实验。
英文摘要：
Epistemic voting interprets votes as noisy signals about a ground truth. We consider contexts where the truth consists of a set of objective winners, knowing a lower and upper bound on its cardinality. A prototypical problem for this setting is the aggre-gation of multi-label annotations with prior knowledge on the size of the ground truth. We posit noisemodels, for which we define rules that output an optimal set of winners. We report on experiments on multi-label annotations (which we collected).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
