Authors
Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong
Publication date
2022/6/28
Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Volume
36
Issue
5
Pages
4949-4956
Description
We revisit the setting of fairly allocating indivisible items when agents have different weights representing their entitlements. First, we propose a parameterized family of relaxations for weighted envy-freeness and the same for weighted proportionality; the parameters indicate whether smaller-weight or larger-weight agents should be given a higher priority. We show that each notion in these families can always be satisfied, but any two cannot necessarily be fulfilled simultaneously. We then introduce an intuitive weighted generalization of maximin share fairness and establish the optimal approximation of it that can be guaranteed. Furthermore, we characterize the implication relations between the various weighted fairness notions introduced in this and prior work, and relate them to the lower and upper quota axioms from apportionment.
Total citations
2022202320244146
Scholar articles
M Chakraborty, E Segal-Halevi, W Suksompong - Proceedings of the AAAI Conference on Artificial …, 2022