Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1935-3820
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Noise-resistant and scalable collective preference learning via ranked voting in swarm robotics ; day:5 ; month:9 ; year:2022 ; pages:1-22
Swarm intelligence ; (5.9.2022), 1-22
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s11721-022-00214-z
- URN
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urn:nbn:de:101:1-2022112221043630467903
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
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Associated
- Shan, Qihao
- Mostaghim, Sanaz
- SpringerLink (Online service)
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Election Reform and Women's Representation: Ranked Choice Voting in the U.S
Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
Distinguished Seminar in Robotics, Systems & Control: From Swarm of Flying Robotics to Nanomedicine
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Variants of Ranked-Choice Voting from a Strategic Perspective
Editor's Introduction: The Promise and Peril of Ranked Choice Voting
Supervisory control theory applied to swarm robotics
Demographic Disparities Using Ranked-Choice Voting? Ranking Difficulty, Under-Voting, and the 2020 Democratic Primary
Election Reform and Women's Representation: Ranked Choice Voting in the U.S
Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
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