TY - GEN
T1 - Fair division of mixed divisible and indivisible goods
AU - Bei, Xiaohui
AU - Li, Zihao
AU - Liu, Jinyan
AU - Liu, Shengxin
AU - Lu, Xinhang
N1 - Publisher Copyright:
Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2020
Y1 - 2020
N2 - We study the problem of fair division when the resources contain both divisible and indivisible goods. Classic fairness notions such as envy-freeness (EF) and envy-freeness up to one good (EF1) cannot be directly applied to the mixed goods setting. In this work, we propose a new fairness notion envy-freeness for mixed goods (EFM), which is a direct generalization of both EF and EF1 to the mixed goods setting. We prove that an EFM allocation always exists for any number of agents. We also propose efficient algorithms to compute an EFM allocation for two agents and for n agents with piecewise linear valuations over the divisible goods. Finally, we relax the envy-free requirement, instead asking for ε-envy-freeness for mixed goods (ε-EFM), and present an algorithm that finds an ε-EFM allocation in time polynomial in the number of agents, the number of indivisible goods, and 1/ε.
AB - We study the problem of fair division when the resources contain both divisible and indivisible goods. Classic fairness notions such as envy-freeness (EF) and envy-freeness up to one good (EF1) cannot be directly applied to the mixed goods setting. In this work, we propose a new fairness notion envy-freeness for mixed goods (EFM), which is a direct generalization of both EF and EF1 to the mixed goods setting. We prove that an EFM allocation always exists for any number of agents. We also propose efficient algorithms to compute an EFM allocation for two agents and for n agents with piecewise linear valuations over the divisible goods. Finally, we relax the envy-free requirement, instead asking for ε-envy-freeness for mixed goods (ε-EFM), and present an algorithm that finds an ε-EFM allocation in time polynomial in the number of agents, the number of indivisible goods, and 1/ε.
UR - http://www.scopus.com/inward/record.url?scp=85093471089&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85093471089
T3 - AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
SP - 1814
EP - 1821
BT - AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
PB - AAAI press
T2 - 34th AAAI Conference on Artificial Intelligence, AAAI 2020
Y2 - 7 February 2020 through 12 February 2020
ER -