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  The River Voting Method

Döring, M., Brill, M., Heitzig, J. (2026): The River Voting Method - Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, The 40th Annual AAAI Conference on Artificial Intelligence (Singapore 2026), 16846-16854, 9 p.
https://doi.org/10.1609/aaai.v40i20.38729

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_33561 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_33561_2
Genre: Conference Paper

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Döring_2504.14195v1.pdf (Preprint), 829KB
 
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https://doi.org/10.48550/arXiv.2504.14195 (Preprint)
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 Creators:
Döring, Michelle1, Author
Brill, Markus1, Author
Heitzig, Jobst2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We introduce River, a novel Condorcet-consistent voting method that is based on pairwise majority margins and can be seen as a simplified variation of Tideman's Ranked Pairs method. River is simple to explain, simple to compute even "by hand," and gives rise to an easy-to-interpret certificate in the form of a directed tree. Like Ranked Pairs and Schulze's Beat Path method, River is a refinement of the Split Cycle method and shares with those many desirable properties, including independence of clones. Unlike the other three methods, River satisfies a strong form of resistance to agenda-manipulation that is known as independence of Pareto-dominated alternatives.

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Language(s): eng - English
 Dates: 2025-11-082026-03-172026-03-17
 Publication Status: Finally published
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1609/aaai.v40i20.38729
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Behavioural Game Theory and Interacting Agents
Research topic keyword: Political Economy
Regional keyword: Global
Model / method: Decision Theory
 Degree: -

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Title: The 40th Annual AAAI Conference on Artificial Intelligence
Place of Event: Singapore
Start-/End Date: 2026-01-20 - 2026-01-27

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Title: Proceedings of the Fortieth AAAI Conference on Artificial Intelligence
Source Genre: Proceedings
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Publ. Info: Washington, DC : Association for the Advancement of Artificial Intelligence
Pages: - Volume / Issue: 40 (20) Sequence Number: - Start / End Page: 16846 - 16854 Identifier: ISBN: 978-1-57735-906-7