Settling the Score: Portioning with Cardinal Preferences

Fuente: arXiv
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Main Authors: Elkind, Edith, Greger, Matthias, Lederer, Patrick, Suksompong, Warut, Teh, Nicholas
Format: Preprint
Published: 2023
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author Elkind, Edith
Greger, Matthias
Lederer, Patrick
Suksompong, Warut
Teh, Nicholas
author_facet Elkind, Edith
Greger, Matthias
Lederer, Patrick
Suksompong, Warut
Teh, Nicholas
contents We study a portioning setting in which a public resource such as time or money is to be divided among a given set of candidates, and each agent proposes a division of the resource. We consider two families of aggregation rules for this setting -- those based on coordinate-wise aggregation and those that optimize some notion of welfare -- as well as the recently proposed independent markets rule. We provide a detailed analysis of these rules from an axiomatic perspective, both for classic axioms, such as strategyproofness and Pareto optimality, and for novel axioms, some of which aim to capture proportionality in this setting. Our results indicate that a simple rule that computes the average of the proposals satisfies many of our axioms and fares better than all other considered rules in terms of fairness properties. We complement these results by presenting two characterizations of the average rule.
format Preprint
id arxiv_https___arxiv_org_abs_2307_15586
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Settling the Score: Portioning with Cardinal Preferences
Elkind, Edith
Greger, Matthias
Lederer, Patrick
Suksompong, Warut
Teh, Nicholas
Computer Science and Game Theory
Theoretical Economics
We study a portioning setting in which a public resource such as time or money is to be divided among a given set of candidates, and each agent proposes a division of the resource. We consider two families of aggregation rules for this setting -- those based on coordinate-wise aggregation and those that optimize some notion of welfare -- as well as the recently proposed independent markets rule. We provide a detailed analysis of these rules from an axiomatic perspective, both for classic axioms, such as strategyproofness and Pareto optimality, and for novel axioms, some of which aim to capture proportionality in this setting. Our results indicate that a simple rule that computes the average of the proposals satisfies many of our axioms and fares better than all other considered rules in terms of fairness properties. We complement these results by presenting two characterizations of the average rule.
title Settling the Score: Portioning with Cardinal Preferences
topic Computer Science and Game Theory
Theoretical Economics
url https://arxiv.org/abs/2307.15586