Title
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods.
Abstract
In fair division of indivisible goods, using sequences of sincere choices (or picking sequences) is a natural way to allocate the objects. The idea is as follows: at each stage, a designated agent picks one object among those that remain. Another intuitive way to obtain an allocation is to give objects to agents in the first place, and to let agents exchange them as long as such are beneficial. This paper investigates these notions, when agents have additive preferences over objects, and unveils surprising connections between them, and with other efficiency and fairness notions. In particular, we show that an allocation is sequenceable iff it is optimal for a certain type of deals, namely cycle deals involving a single object. Furthermore, any Pareto-optimal allocation is sequenceable, but not the converse. Regarding fairness, we show that an allocation can be envy-free and non-sequenceable, but that every competitive equilibrium with equal incomes is sequenceable. To complete the picture, we show how some domain restrictions may affect the relations between these notions. Finally, we experimentally explore the links between the scales of efficiency and fairness.
Year
DOI
Venue
2018
10.5555/3306127.3331783
arXiv: Artificial Intelligence
Keywords
Field
DocType
Multiagent Resource Allocation,Fair Division,Efficiency
Converse,Mathematical economics,Fair division,Computer science,Competitive equilibrium,If and only if,Distributed computing
Journal
Volume
Citations 
PageRank 
abs/1807.11919
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Aurélie Beynier1729.60
Sylvain Bouveret225117.61
Michel Lemaître347839.79
Nicolas Maudet4334.46
Simon Rey501.69
Parham Shams600.34