Whoever Said Money Won't Solve All Your Problems?: Weighted Envy-free Allocation with Subsidy
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- Noga Klein Elmalem
- The Open University of Israel
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- Haris, Aziz
- UNSW Sydney
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- Rica, Gonen
- The Open University of Israel
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- コウ, シン
- 九州大学
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- 木村, 慧
- 九州大学
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- サハ, インドラジツト
- 九州大学
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- Erel, Segal-Halevi
- Ariel University
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- 孫, 兆鴻
- 九州大学
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- Suzuki, Mashbat
- UNSW Sydney
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- 横尾, 真
- 九州大学
説明
We explore solutions for fairly allocating indivisible items among agents assigned weights representing their entitlements. Our fairness goal is weighted-envy-freeness (WEF), where each agent deems their allocated portion relative to their entitlement at least as favorable as any other’s relative to their own. Often, achieving WEF necessi- tates monetary transfers, which can be modeled as third-party subsidies. The goal is to attain WEF with bounded subsidies. / Previous work relied on characterizations of unweighted envy-freeness (EF), that fail in the weighted setting. This makes our new setting challenging. We present polynomial-time algorithms that compute WEF allocations with a guaranteed upper bound on total subsidy for monotone valuations and various subclasses thereof. / We also present an efficient algorithm to compute a fair allocation of items and money, when the budget is not enough to make the allocation WEF. This algorithm is new even for the unweighted setting
収録刊行物
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- Computing Research Repository (CoRR)
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Computing Research Repository (CoRR) 2025-02 2025-02
Cornell University
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詳細情報 詳細情報について
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- CRID
- 1050587041605629824
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- ISSN
- 23318422
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- HANDLE
- 2324/7385217
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB