Strategyproof Mechanisms for Activity Scheduling

Xinping Xu*, Minming Li, Lingjie Duan

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

10 Citations (Scopus)

Abstract

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+ d] or at least as close as possible. Thus his cost is the time difference between his time ti and the activity duration [yd]. 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 [yd]. 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.
Original languageEnglish
Title of host publicationAAMAS’20
Subtitle of host publicationProceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
PublisherAssociation for Computing Machinery
Pages1539-1547
Number of pages9
ISBN (Electronic)978-1-4503-7518-4, 9781450375184
Publication statusPublished - May 2020
Event19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020 - Virtual, Auckland, New Zealand
Duration: 9 May 202013 May 2020
https://aamas2020.conference.auckland.ac.nz/
https://dl.acm.org/doi/proceedings/10.5555/3398761

Publication series

NameProceedings of the International Conference on Autonomous Agents and MultiAgent Systems
ISSN (Electronic)2523-5699

Conference

Conference19th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2020
PlaceNew Zealand
CityAuckland
Period9/05/2013/05/20
Internet address

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Research Keywords

  • [SCCG] Cooperative games: theory & analysis
  • [SCCG] Social choice theory

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