PROPm Allocations of Indivisible Goods to Multiple Agents
Baklanov, Artem, Garimidi, Pranav, Gkatzelis, Vasilis, Schoepflin, Daniel
–arXiv.org Artificial Intelligence
We study the classic problem of fairly allocating a set of indivisible goods among a group of agents, and focus on the notion of approximate proportionality known as PROPm. Prior work showed that there exists an allocation that satisfies this notion of fairness for instances involving up to five agents, but fell short of proving that this is true in general. We extend this result to show that a PROPm allocation is guaranteed to exist for all instances, independent of the number of agents or goods. Our proof is constructive, providing an algorithm that computes such an allocation and, unlike prior work, the running time of this algorithm is polynomial in both the number of agents and the number of goods.
arXiv.org Artificial Intelligence
May-24-2021
- Country:
- North America > United States
- Utah > Salt Lake County
- Salt Lake City (0.04)
- New York
- New York County > New York City (0.04)
- Tompkins County > Ithaca (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Utah > Salt Lake County
- North America > United States
- Genre:
- Research Report (0.64)
- Technology: