<div class="csl-bib-body">
<div class="csl-entry">Brill, M., Delemazure, T., George, A.-M., Lackner, M., & Schmidt-Kraepelin, U. (2022). Liquid Democracy with Ranked Delegations. In <i>Proceedings of the 36th AAAI Conference on Artificial Intelligence</i> (pp. 4884–4891). AAAI Press. https://doi.org/10.1609/aaai.v36i5.20417</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/144350
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dc.description.abstract
Liquid democracy is a novel paradigm for collective decision-making that gives agents the choice between casting a direct vote or delegating their vote to another agent. We consider a generalization of the standard liquid democracy setting by allowing agents to specify multiple potential delegates, together with a preference ranking among them. This general-ization increases the number of possible delegation paths and enables higher participation rates because fewer votes are lost due to delegation cycles or abstaining agents. In order to implement this generalization of liquid democracy, we need to find a principled way of choosing between multiple delegation paths. In this paper, we provide a thorough axiomatic
analysis of the space of delegation rules, i.e., functions assigning a feasible delegation path to each delegating agent. In particular, we prove axiomatic characterizations as well as an impossibility result for delegation rules. We also analyze requirements on delegation rules that have been suggested by practitioners, and introduce novel rules with at-tractive properties. By performing an extensive experimental analysis on synthetic as well as real-world data, we compare delegation rules with respect to several quantitative criteria relating to the chosen paths and the resulting distribution of voting power. Our experiments reveal that delegation rules can be aligned on a spectrum reflecting an inherent trade-off between competing objectives.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
Game Theory And Economic Paradigms (GTEP)
en
dc.subject
collective decision-making
en
dc.subject
Liquid democracy
en
dc.subject
axiomatic analysis
en
dc.subject
Delegations
en
dc.subject
real-world data
en
dc.subject
inherent trade-off
en
dc.subject
competing objectives
en
dc.subject
ranked
en
dc.title
Liquid Democracy with Ranked Delegations
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Technische Universität Berlin, Germany
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dc.contributor.affiliation
Université Paris Dauphine-PSL, France
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dc.contributor.affiliation
University of Oslo, Norway
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dc.contributor.affiliation
Technische Universität Berlin, Germany
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dc.relation.isbn
1-57735-876-7
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dc.description.startpage
4884
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dc.description.endpage
4891
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dc.relation.grantno
P31890-N31
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 36th AAAI Conference on Artificial Intelligence
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tuw.container.volume
36 (5)
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tuw.peerreviewed
true
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tuw.relation.publisher
AAAI Press
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tuw.relation.publisherplace
Palo Alto, CA, USA
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tuw.project.title
Algorithms for Sustainable Group Decision Making
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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tuw.publisher.doi
10.1609/aaai.v36i5.20417
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dc.description.numberOfPages
8
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tuw.author.orcid
0000-0003-2045-6403
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tuw.author.orcid
0000-0003-2170-0770
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tuw.event.name
36th AAAI Conference on Artificial Intelligence (AAAI 2022)
en
dc.description.sponsorshipexternal
Deutsche Forschungsgemeinschaft
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dc.description.sponsorshipexternal
Norwegian Research Counci
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dc.relation.grantnoexternal
BR 4744/2-1
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dc.relation.grantnoexternal
302203
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tuw.event.startdate
22-02-2022
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tuw.event.enddate
01-03-2022
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tuw.event.online
Online
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tuw.event.type
Event for scientific audience
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tuw.event.country
US
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tuw.event.presenter
Lackner, Martin
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tuw.presentation.online
Online
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openairetype
conference paper
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item.fulltext
no Fulltext
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item.languageiso639-1
en
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item.grantfulltext
restricted
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item.cerifentitytype
Publications
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crisitem.author.dept
Technische Universität Berlin
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crisitem.author.dept
Universit� Paris Dauphine-PSL
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crisitem.author.dept
University of Oslo
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence