{"title":"Weighted Envy-Freeness in House Allocation","authors":"Sijia Dai, Yankai Chen, Xiaowei Wu, Yicheng Xu, Yong Zhang","doi":"arxiv-2408.12523","DOIUrl":null,"url":null,"abstract":"The classic house allocation problem involves assigning $m$ houses to $n$\nagents based on their utility functions, ensuring each agent receives exactly\none house. A key criterion in these problems is satisfying fairness constraints\nsuch as envy-freeness. We extend this problem by considering agents with\narbitrary weights, focusing on the concept of weighted envy-freeness, which has\nbeen extensively studied in fair division. We present a polynomial-time\nalgorithm to determine whether weighted envy-free allocations exist and, if so,\nto compute one. Since weighted envy-free allocations do not always exist, we\nalso investigate the potential of achieving such allocations through the use of\nsubsidies. We provide several characterizations for weighted envy-freeable\nallocations (allocations that can be turned weighted envy-free by introducing\nsubsidies) and show that they do not always exist, which is different from the\nunweighted setting. Furthermore, we explore the existence of weighted\nenvy-freeable allocations in specific scenarios and outline the conditions\nunder which they exist.","PeriodicalId":501316,"journal":{"name":"arXiv - CS - Computer Science and Game Theory","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computer Science and Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.12523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The classic house allocation problem involves assigning $m$ houses to $n$
agents based on their utility functions, ensuring each agent receives exactly
one house. A key criterion in these problems is satisfying fairness constraints
such as envy-freeness. We extend this problem by considering agents with
arbitrary weights, focusing on the concept of weighted envy-freeness, which has
been extensively studied in fair division. We present a polynomial-time
algorithm to determine whether weighted envy-free allocations exist and, if so,
to compute one. Since weighted envy-free allocations do not always exist, we
also investigate the potential of achieving such allocations through the use of
subsidies. We provide several characterizations for weighted envy-freeable
allocations (allocations that can be turned weighted envy-free by introducing
subsidies) and show that they do not always exist, which is different from the
unweighted setting. Furthermore, we explore the existence of weighted
envy-freeable allocations in specific scenarios and outline the conditions
under which they exist.