Abstract
Perpetual voting is a framework for long-term collective decision making. In this framework, we consider a sequence of subsequent approval-based elections and try to achieve a fair overall outcome. To achieve fairness over time, perpetual voting rules take the history of previous decisions into account and identify voters that were dissatisfied with previous decisions. In this paper, we look at perpetual voting rules from an axiomatic perspective. First, we define two classes of perpetual voting rules that are particularly easy to explain to voters and we explore the bounds imposed by this simplicity. Second, we study proportionality in the perpetual setting and identify two rules with strong proportionality guarantees. However, both rules yield different guarantees and we prove them to be incompatible with each other.
Original language | English |
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Title of host publication | Proceedings of the 37th AAAI Conference on Artificial Intelligence |
Subtitle of host publication | AAAI-23 Technical Tracks 5 |
Editors | Brian Williams, Yiling Chen, Jennifer Neville |
Place of Publication | Washington, DC |
Publisher | AAAI Press |
Pages | 5722-5729 |
Number of pages | 8 |
ISBN (Electronic) | 9781577358800 |
DOIs | |
Publication status | Published - 27 Jun 2023 |
Externally published | Yes |
Event | 37th AAAI Conference on Artificial Intelligence, AAAI 2023 - Washington, United States Duration: 7 Feb 2023 → 14 Feb 2023 |
Publication series
Series | Proceedings of the AAAI Conference on Artificial Intelligence |
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Number | 5 |
Volume | 37 |
ISSN | 2159-5399 |
Conference
Conference | 37th AAAI Conference on Artificial Intelligence, AAAI 2023 |
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Country/Territory | United States |
City | Washington |
Period | 7/02/23 → 14/02/23 |
Bibliographical note
Publisher Copyright:Copyright © 2023, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.