Free-Riding in Multi-Issue Decisions

Martin Lackner, Jan Maly, Oliviero Nardi

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

Voting in multi-issue domains allows for compromise outcomes that satisfy all voters to some extent. Such fairness considerations, however, open the possibility of a special form of manipulation: free-riding. By untruthfully opposing a popular opinion in one issue, voters can receive increased consideration in other issues. We study under which conditions this is possible. Additionally, we study free-riding from a computational and experimental point of view. Our results show that free-riding in multi-issue domains is largely unavoidable, but comes at a non-negligible individual risk for voters. Thus, the allure of free-riding is smaller than one could intuitively assume.

OriginalspracheEnglisch
Titel des SammelwerksProceedings of the 22nd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
Untertitel des SammelwerksMay 29 – June 2, 2023, London, United Kingdom
ErscheinungsortRichland, SC
VerlagIFAAMAS
Seiten2040-2048
Seitenumfang9
ISBN (Print)978-1-4503-9432-1
DOIs
PublikationsstatusVeröffentlicht - 2023
Extern publiziertJa
Veranstaltung22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 - London, Großbritannien/Vereinigtes Königreich
Dauer: 29 Mai 20232 Juni 2023

Publikationsreihe

ReiheProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
ISSN1548-8403

Konferenz

Konferenz22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023
Land/GebietGroßbritannien/Vereinigtes Königreich
OrtLondon
Zeitraum29/05/232/06/23

Bibliographische Notiz

Publisher Copyright:
© 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

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