New Algorithms for Japanese Residency Matching
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 412-418.
https://doi.org/10.24963/ijcai.2021/58
Keywords
- Agent-based and Multi-agent Systems: Economic Paradigms, Auctions and Market-Based Systems
Abstract
We study the Japanese Residency Matching Program (JRMP) in which hospitals are partitioned into disjoint regions and both hospitals and regions are subject to quotas. To achieve a balanced distribution of doctors across regions, hard bounds are imposed by the government to limit the number of
doctors who can be placed in each region. However, such hard bounds lead to inefficiency in terms of wasted vacant positions. In this paper, we propose
two suitable algorithms to reduce waste with minimal modification to the current system and show that they are superior to the algorithm currently
deployed in JRMP by comparing them theoretically and empirically.
@inproceedings{ijcai2021p58,
title = {New Algorithms for Japanese Residency Matching},
author = {Sun, Zhaohong and Todo, Taiki and Yokoo, Makoto},
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 = {412--418},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/58},
url = {https://doi.org/10.24963/ijcai.2021/58},
}
TY - CPAPER TI - New Algorithms for Japanese Residency Matching AU - Sun, Zhaohong AU - Todo, Taiki AU - Yokoo, Makoto T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 412 EP - 418 DO - 10.24963/ijcai.2021/58 UR - https://doi.org/10.24963/ijcai.2021/58 ER -Copied
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