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Strategyproof mechanisms for activity scheduling

  • Xinping Xu*
  • , Minming Li
  • , Lingjie Duan
  • *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

摘要

Recent years have seen various designs of strategyproof mechanisms in the facility location game and the obnoxious facility game, by considering the facility as a point. In this paper, we extend that point to be an interval and study a novel activity scheduling game to schedule an activity in the time domain [0, 1] based on all agents' time reports. The activity lasts for a time period of d with 0 ≤ d ≤ 1, and each agent i wants his private time ti to be within the activity duration [y, y + d] or at least as close as possible. Thus his cost is the time difference between his time ti and the activity duration [y, y + d]. The social cost is the summation of all agents' costs. Our objective is to choose the activity starting time y so that the mechanisms are strategyproof (truthful) and efficient. We design a mechanism outputting an optimal solution and prove it is group strategyproof. For minimizing the maximum cost, we also design a strategyproof mechanism with approximation ratio 2. In the obnoxious activity scheduling game, each agent prefers his conflict time ti to be far away from the activity duration [y, y + d]. We respectively design deterministic and randomized group strategyproof mechanisms with provable approximation ratios and also show the lower bounds. Besides, for extension, we consider the cost/utility as the characteristic function and find group strategyproof mechanisms for minimizing the social cost and maximizing the social utility.

源语言英语
主期刊名Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
编辑Bo An, Amal El Fallah Seghrouchni, Gita Sukthankar
出版商International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
1539-1547
页数9
ISBN(电子版)9781450375184
出版状态已出版 - 2020
已对外发布
活动19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020 - Virtual, Auckland, 新西兰
期限: 19 5月 2020 → …

出版系列

姓名Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
2020-May
ISSN(印刷版)1548-8403
ISSN(电子版)1558-2914

会议

会议19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
国家/地区新西兰
Virtual, Auckland
时期19/05/20 → …

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