Impartial Selection with Additive Guarantees via Iterated Deletion

Javier Cembrano, Felix A. Fischer, David Hannon, Max Klimm
{"title":"Impartial Selection with Additive Guarantees via Iterated Deletion","authors":"Javier Cembrano, Felix A. Fischer, David Hannon, Max Klimm","doi":"10.1145/3490486.3538294","DOIUrl":null,"url":null,"abstract":"Impartial selection is the selection of an individual from a group based on nominations by other members of the group, in such a way that individuals cannot influence their own chance of selection. We give a deterministic mechanism with an additive performance guarantee of O(n(1+κ)/2) in a setting with n individuals where each individual casts O(nκ) nominations, where κ∈[0,1]. For κ=0, i.e. when each individual casts at most a constant number of nominations, this bound is O(√n). This matches the best-known guarantee for randomized mechanisms and a single nomination. For κ=1 the bound is O(n). This is trivial, as even a mechanism that never selects provides an additive guarantee of n-1. We show, however, that it is also best possible: for every deterministic impartial mechanism there exists a situation in which some individual is nominated by every other individual and the mechanism either does not select or selects an individual not nominated by anyone.","PeriodicalId":209859,"journal":{"name":"Proceedings of the 23rd ACM Conference on Economics and Computation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd ACM Conference on Economics and Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3490486.3538294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Impartial selection is the selection of an individual from a group based on nominations by other members of the group, in such a way that individuals cannot influence their own chance of selection. We give a deterministic mechanism with an additive performance guarantee of O(n(1+κ)/2) in a setting with n individuals where each individual casts O(nκ) nominations, where κ∈[0,1]. For κ=0, i.e. when each individual casts at most a constant number of nominations, this bound is O(√n). This matches the best-known guarantee for randomized mechanisms and a single nomination. For κ=1 the bound is O(n). This is trivial, as even a mechanism that never selects provides an additive guarantee of n-1. We show, however, that it is also best possible: for every deterministic impartial mechanism there exists a situation in which some individual is nominated by every other individual and the mechanism either does not select or selects an individual not nominated by anyone.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过迭代删除具有加性保证的公正选择
公正的选择是根据群体中其他成员的提名从群体中选择个人,以这样一种方式,个人不能影响自己的选择机会。我们给出了一个确定性机制,在有n个个体的情况下,每个个体投O(nκ)项,其中κ∈[0,1],具有O(n(1+κ)/2)的加性性能保证。对于κ=0,即当每个个体最多投出一个常数的提名数时,这个界限是O(√n)。这与最著名的随机机制保证和单一提名相匹配。当κ=1时,边界为O(n)。这是微不足道的,因为即使是从不选择的机制也提供了n-1的附加保证。然而,我们表明,这也是最可能的:对于每一个确定性的公正机制,都存在这样一种情况,即某些个体被所有其他个体提名,而该机制要么不选择,要么选择一个没有被任何人提名的个体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On Two-sided Matching in Infinite Markets Herd Design Efficient Capacity Provisioning for Firms with Multiple Locations: The Case of the Public Cloud Tight Incentive Analysis on Sybil Attacks to Market Equilibrium of Resource Exchange over General Networks General Graphs are Easier than Bipartite Graphs: Tight Bounds for Secretary Matching
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1