Abstract
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.
Original language | English |
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Pages | 494-501 |
Number of pages | 8 |
State | Published - 1 Jan 2017 |
Externally published | Yes |
Event | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 - San Francisco, United States Duration: 4 Feb 2017 → 10 Feb 2017 |
Conference
Conference | 31st AAAI Conference on Artificial Intelligence, AAAI 2017 |
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Country/Territory | United States |
City | San Francisco |
Period | 4/02/17 → 10/02/17 |
ASJC Scopus subject areas
- Artificial Intelligence