Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods
July 28, 2018 ยท Declared Dead ยท ๐ Adaptive Agents and Multi-Agent Systems
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Authors
Aurรฉlie Beynier, Sylvain Bouveret, Michel Lemaรฎtre, Nicolas Maudet, Simon Rey
arXiv ID
1807.11919
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MA
Citations
13
Venue
Adaptive Agents and Multi-Agent Systems
Last Checked
4 months ago
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 "deals" 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.
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