Aggregating Incomplete Pairwise Preferences by Weight

Open Access
Authors
Publication date 2019
Host editors
  • S. Kraus
Book title Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Book subtitle IJCAI-19 : Macao, 10-16 August 2019
ISBN (electronic)
  • 9780999241141
Event International Joint Conference on Artificial Intelligence (IJCAI) 2019
Pages (from-to) 595-601
Publisher International Joint Conferences on Artificial Intelligence
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We develop a model for the aggregation of preferences that do not need to be either complete or transitive. Our focus is on the normative characterisation of aggregation rules under which each agent has a weight that depends only on the size of her ballot, i.e., on the number of pairs of alternatives for which she chooses to report a relative ranking. We show that for rules that satisfy a restricted form of majoritarianism these weights in fact must be constant, while for rules that are invariant under agents with compatible preferences forming pre-election pacts it must be the case that an agent's weight is inversely proportional to the size of her ballot.
Document type Conference contribution
Language English
Published at https://doi.org/10.24963/ijcai.2019/84
Published at https://eprints.illc.uva.nl/1697/1/TerzopoulouEndrissIJCAI2019.pdf
Downloads
TerzopoulouEndrissIJCAI2019 (Accepted author manuscript)
0084 (Final published version)
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