Fair Division with Allocator's Preference
Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao

TL;DR
This paper explores fair resource allocation considering both agents and the allocator's preferences, establishing existence results for various fairness criteria and analyzing the computational complexity of maximizing allocator's efficiency.
Contribution
It introduces a new model incorporating the allocator's preferences, proves existence of doubly fair allocations under different conditions, and provides complexity bounds for maximizing allocator's utility.
Findings
Doubly EF-1 allocation always exists when allocator's utility depends only on items.
Doubly PROP-2 exists for personalized bi-valued valuations.
Maximizing allocator's social welfare with agents' fairness constraints is polynomial-time solvable for binary valuations.
Abstract
We study the fair allocation of indivisible resources among agents. Most prior work focuses on fairness and/or efficiency among agents. However, the allocator, as the resource owner, may also be involved in many scenarios (e.g., government resource allocation, heritage division, company personnel assignment, etc). The allocator inclines to obtain a fair or efficient allocation based on her preference over the items and to whom each item is allocated. We propose a model and study two problems: 1) Find an allocation fair to both agents and allocator; 2) Maximize allocator's efficiency under agents' fairness. We consider the two fundamental fairness criteria: envy-freeness and proportionality. For the first problem, we study the existence of an allocation that is envy-free up to goods (EF-) or proportional up to goods (PROP-) from both the agents' and the allocator's…
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Taxonomy
TopicsGame Theory and Voting Systems · Auction Theory and Applications
