Truthful Mechanisms for Steiner Tree Problems

Jinshan Zhang, Zhengyang Liu*, Xiaotie Deng, Jianwei Yin

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Consider an undirected graph G = (V, E) model for a communication network, where each edge is owned by a selfish agent, who reports the cost for offering the use of her edge. Note that each edge agent may misreport her own cost for the use of the edge for her own benefit. In such a non-cooperative setting, we aim at designing an approximately truthful mechanism for establishing a Steiner tree, a minimum cost tree spanning over all the terminals. We present a truthful-in-expectation mechanism that achieves the approximation ratio ln 4 + ϵ ≈ 1.39, which matches the current best algorithmic ratio for STP.

源语言英语
主期刊名AAAI-23 Technical Tracks 5
编辑Brian Williams, Yiling Chen, Jennifer Neville
出版商AAAI press
5884-5891
页数8
ISBN(电子版)9781577358800
DOI
出版状态已出版 - 27 6月 2023
活动37th AAAI Conference on Artificial Intelligence, AAAI 2023 - Washington, 美国
期限: 7 2月 202314 2月 2023

出版系列

姓名Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
37

会议

会议37th AAAI Conference on Artificial Intelligence, AAAI 2023
国家/地区美国
Washington
时期7/02/2314/02/23

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