Fairly Allocating Many Goods with Few Queries
July 30, 2018 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Hoon Oh, Ariel D. Procaccia, Warut Suksompong
arXiv ID
1807.11367
Category
cs.GT: Game Theory
Cross-listed
cs.AI,
cs.MA
Citations
36
Venue
AAAI Conference on Artificial Intelligence
Last Checked
6 months ago
Abstract
We investigate the query complexity of the fair allocation of indivisible goods. For two agents with arbitrary monotonic utilities, we design an algorithm that computes an allocation satisfying envy-freeness up to one good (EF1), a relaxation of envy-freeness, using a logarithmic number of queries. We show that the logarithmic query complexity bound also holds for three agents with additive utilities, and that a polylogarithmic bound holds for three agents with monotonic utilities. These results suggest that it is possible to fairly allocate goods in practice even when the number of goods is extremely large. By contrast, we prove that computing an allocation satisfying envy-freeness and another of its relaxations, envy-freeness up to any good (EFX), requires a linear number of queries even when there are only two agents with identical additive utilities.
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