What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain.

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE(2019)

引用 70|浏览43
暂无评分
摘要
We visualize aggregate outputs of popular multiwinner voting rules-SNTV, STV, Bloc, k-Borda, Monroe, Chamberlin-Courant, and PAV-for elections generated according to the two-dimensional Euclidean model. We consider three applications of multiwinner voting, namely, parliamentary elections, portfolio/movie selection, and shortlisting, and use our results to understand which of our rules seem to be best suited for each application. In particular, we show that STV (one of the few nontrivial rules used in real high-stake elections) exhibits excellent performance, whereas the Bloc rule (also often used in practice) performs poorly.
更多
查看译文
关键词
multiwinner voting rules,two-dimensional
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要