A family of strategyproof mechanisms for activity scheduling

Recent years have seen various designs of strategyproof mechanisms in the facility location game and the obnoxious facility game, by considering the facility’s geo-location as a point in the spatial domain. In this paper, we extend this point to be a continuous interval, and study a novel activity s...

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Main Authors: Xu, Xinping, Zhang, Jingwen, Li, Minming, Duan, Lingjie, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173340
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1733402024-01-29T02:03:37Z A family of strategyproof mechanisms for activity scheduling Xu, Xinping Zhang, Jingwen Li, Minming Duan, Lingjie Xie, Lihua School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Activity Scheduling Strategyproof Mechanism Recent years have seen various designs of strategyproof mechanisms in the facility location game and the obnoxious facility game, by considering the facility’s geo-location as a point in the spatial domain. In this paper, we extend this point to be a continuous interval, and study a novel activity scheduling game to schedule an activity in the normalized time domain [0, 1] based on all agents’ time reports for preferences/conflicts. The activity starts at time point y and lasts for a fixed time period of d with 0 ≤ d≤ 1 . Each agent i∈ N= { 1 , ⋯ , n} wants his preferred time interval [ti, ti+ li] to be close to or overlap with the activity interval [y, y+ d] . Since agents are heterogeneous, we consider each agent i has weight αi or βi when the activity is scheduled after or before his time interval, respectively. Thus each agent i’s cost is his weight (αi or βi) multiplied by the time difference between his time interval [ti, ti+ li] and the activity interval [y, y+ d]. The social cost is the summation of all agents’ costs. In this game, agents’ preferred time intervals [ti, ti+ li] ’s are private information and they may misreport such information to the social planner. Our objective is to choose the activity starting time y so that the mechanisms are strategyproof (i.e., all agents should be truthful to report ti ’s and li ’s) and perform well with respect to minimizing the social cost. We design a mechanism outputting an optimal solution and prove that it is group strategyproof. For the objective of minimizing the maximum cost among agents, we design another strategyproof mechanism with the approximation ratio 1 + min { α/ β, β/ α} when αi= α, βi= β for i∈ N, and prove it is the best strategyproof mechanism. In the obnoxious activity scheduling game, each agent prefers his conflicting time interval [ti, ti+ li] to be far away from the activity interval [y, y+ d] . We design deterministic and randomized group strategyproof mechanisms, and compare their provable approximation ratios to the lower bounds. Finally, we consider the cost/utility of each agent as a 0-1 indicator function and find group strategyproof mechanisms for minimizing the social cost and maximizing the social utility. 2024-01-29T02:03:36Z 2024-01-29T02:03:36Z 2023 Journal Article Xu, X., Zhang, J., Li, M., Duan, L. & Xie, L. (2023). A family of strategyproof mechanisms for activity scheduling. Autonomous Agents and Multi-Agent Systems, 37(2). https://dx.doi.org/10.1007/s10458-023-09624-7 1387-2532 https://hdl.handle.net/10356/173340 10.1007/s10458-023-09624-7 2-s2.0-85174499223 2 37 en Autonomous Agents and Multi-Agent Systems © 2023 Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Activity Scheduling
Strategyproof Mechanism
spellingShingle Engineering::Electrical and electronic engineering
Activity Scheduling
Strategyproof Mechanism
Xu, Xinping
Zhang, Jingwen
Li, Minming
Duan, Lingjie
Xie, Lihua
A family of strategyproof mechanisms for activity scheduling
description Recent years have seen various designs of strategyproof mechanisms in the facility location game and the obnoxious facility game, by considering the facility’s geo-location as a point in the spatial domain. In this paper, we extend this point to be a continuous interval, and study a novel activity scheduling game to schedule an activity in the normalized time domain [0, 1] based on all agents’ time reports for preferences/conflicts. The activity starts at time point y and lasts for a fixed time period of d with 0 ≤ d≤ 1 . Each agent i∈ N= { 1 , ⋯ , n} wants his preferred time interval [ti, ti+ li] to be close to or overlap with the activity interval [y, y+ d] . Since agents are heterogeneous, we consider each agent i has weight αi or βi when the activity is scheduled after or before his time interval, respectively. Thus each agent i’s cost is his weight (αi or βi) multiplied by the time difference between his time interval [ti, ti+ li] and the activity interval [y, y+ d]. The social cost is the summation of all agents’ costs. In this game, agents’ preferred time intervals [ti, ti+ li] ’s are private information and they may misreport such information to the social planner. Our objective is to choose the activity starting time y so that the mechanisms are strategyproof (i.e., all agents should be truthful to report ti ’s and li ’s) and perform well with respect to minimizing the social cost. We design a mechanism outputting an optimal solution and prove that it is group strategyproof. For the objective of minimizing the maximum cost among agents, we design another strategyproof mechanism with the approximation ratio 1 + min { α/ β, β/ α} when αi= α, βi= β for i∈ N, and prove it is the best strategyproof mechanism. In the obnoxious activity scheduling game, each agent prefers his conflicting time interval [ti, ti+ li] to be far away from the activity interval [y, y+ d] . We design deterministic and randomized group strategyproof mechanisms, and compare their provable approximation ratios to the lower bounds. Finally, we consider the cost/utility of each agent as a 0-1 indicator function and find group strategyproof mechanisms for minimizing the social cost and maximizing the social utility.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Xu, Xinping
Zhang, Jingwen
Li, Minming
Duan, Lingjie
Xie, Lihua
format Article
author Xu, Xinping
Zhang, Jingwen
Li, Minming
Duan, Lingjie
Xie, Lihua
author_sort Xu, Xinping
title A family of strategyproof mechanisms for activity scheduling
title_short A family of strategyproof mechanisms for activity scheduling
title_full A family of strategyproof mechanisms for activity scheduling
title_fullStr A family of strategyproof mechanisms for activity scheduling
title_full_unstemmed A family of strategyproof mechanisms for activity scheduling
title_sort family of strategyproof mechanisms for activity scheduling
publishDate 2024
url https://hdl.handle.net/10356/173340
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