Fair division of indivisible goods: Recent progress and open questions
Georgios Amanatidis,Haris Aziz,Georgios Birmpas,Aris Filos-Ratsikas,Bo Li,Hervé Moulin,Alexandros A. Voudouris,Xiaowei Wu +7 more
74
TL;DR: A comprehensive review of the recent progress made in the related literature by highlighting different ways to relax fairness notions, common algorithm design techniques, and the most interesting questions for future research can be found in this article .
read more
Abstract: Allocating resources to individuals in a fair manner has been a topic of interest since ancient times, with most of the early mathematical work on the problem focusing on resources that are infinitely divisible. Over the last decade, there has been a surge of papers studying computational questions regarding the indivisible case, for which exact fairness notions such as envy-freeness and proportionality are hard to satisfy. One main theme in the recent research agenda is to investigate the extent to which their relaxations, like maximin share fairness (MMS) and envy-freeness up to any good (EFX), can be achieved. In this survey, we present a comprehensive review of the recent progress made in the related literature by highlighting different ways to relax fairness notions, common algorithm design techniques, and the most interesting questions for future research.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Fair Division with Subjective Divisibility
Xiaohui Bei,Shengxin Liu,Xinhang Lu +2 more
TL;DR: Fair division with subjective divisibility investigates fairness properties in a model where agents have subjective divisibility over the goods to be allocated. The paper explores the maximin share (MMS) guarantee and envy-freeness (EFM) for this model.
The Complexity of Fair Division of Indivisible Items with Externalities
TL;DR: It is proved that it is NP-complete to decide whether there exists an EFX allocation, even when there are only three agents, or even whenthere are only six different values for the items, and it is complemented by showing that when both the number of agents and the number-of-different values for items are bounded by a parameter the problem becomes fixed-parameter tractable.
Mixed Fair Division: A Survey
15 Jun 2023
TL;DR: The fair allocation of resources to agents is a fundamental problem in society and has received significant attention and rapid developments from the game theory and artificial intelligence communities in recent years as mentioned in this paper , and the majority of the fair division literature can be divided along at least two orthogonal directions: goods versus chores, and divisible versus indivisible resources.
On the Existence of EFX (and Pareto-Optimal) Allocations for Binary Chores
TL;DR: This work focuses on the fairness criteria of envy-freeness up to any item (EFX) and investigates the existence of EFX allocations, and shows that when agents have additive binary cost functions, there exist EFX and Pareto-optimal allocations that can be computed in polynomial time.
2
Maximizing Nash Social Welfare under Two-Sided Preferences
Pallavi Jain,Rohit Vaish +1 more
TL;DR: Maximizing Nash social welfare under two-sided preferences is computationally hard, but approximation and parameterized algorithms are developed.
References
•Book
Fair Division and Collective Welfare
Hervé Moulin
- 24 Jan 2003
TL;DR: This book discusses three cardinal interpretations of collective welfare: Bentham's "utilitarian" proposal to maximize the sum of individual utilities, the Nash product, and the egalitarian leximin ordering.
1K
Approximation algorithms for scheduling unrelated parallel machines
TL;DR: It is proved that no polynomial algorithm can achieve a worst-case ratio less than 3/2 unlessP = NP, and a complexity classification for all special cases with a fixed number of processing times is obtained.
A New Solution to the Random Assignment Problem
Anna Bogomolnaia,Hervé Moulin +1 more
TL;DR: A simple algorithm characterizes ordinally efficient assignments: the solution, probabilistic serial (PS), is a central element within their set, and Random priority orders agents from the uniform distribution, then lets them choose successively their best remaining object.
958
Related Papers (5)
Marco Dall'Aglio,Rodica Branzei,Stef Tijs +2 more
- 01 Jan 2007