Picking Sequences and Monotonicity in Weighted Fair Division
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 82-88.
https://doi.org/10.24963/ijcai.2021/12
Keywords
- Agent-based and Multi-agent Systems: Resource Allocation
- Agent-based and Multi-agent Systems: Computational Social Choice
Abstract
We study the problem of fairly allocating indivisible items to agents with different entitlements, which captures, for example, the distribution of ministries among political parties in a coalition government. Our focus is on picking sequences derived from common apportionment methods, including five traditional divisor methods and the quota method. We paint a complete picture of these methods in relation to known envy-freeness and proportionality relaxations for indivisible items as well as monotonicity properties with respect to the resource, population, and weights. In addition, we provide characterizations of picking sequences satisfying each of the fairness notions, and show that the well-studied maximum Nash welfare solution fails resource- and population-monotonicity even in the unweighted setting. Our results serve as an argument in favor of using picking sequences in weighted fair division problems.
@inproceedings{ijcai2021p12,
title = {Picking Sequences and Monotonicity in Weighted Fair Division},
author = {Chakraborty, Mithun and Schmidt-Kraepelin, Ulrike and Suksompong, Warut},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {82--88},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/12},
url = {https://doi.org/10.24963/ijcai.2021/12},
}
TY - CPAPER TI - Picking Sequences and Monotonicity in Weighted Fair Division AU - Chakraborty, Mithun AU - Schmidt-Kraepelin, Ulrike AU - Suksompong, Warut T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 82 EP - 88 DO - 10.24963/ijcai.2021/12 UR - https://doi.org/10.24963/ijcai.2021/12 ER -Copied
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