Approximation Guarantee of OSP Mechanisms: The Case of Machine Scheduling and Facility Location
Approximation Guarantee of OSP Mechanisms: The Case of Machine Scheduling and Facility Location
复制标题
OSP机制的近似保证:以机器调度和设施选址为例
DOI:
10.1007/s00453-020-00771-x
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发表时间:
2020
期刊:
影响因子:
1.1
通讯作者:
Ferraioli D
中科院分区:
文献类型:
--
作者:
Ferraioli D
Obvious strategyproofness (OSP) is an appealing concept as it allows to maintain incentive compatibility even in the presence of agents that are not fully rational, i.e., those who struggle with contingent reasoning (Li in Am Econ Rev 107(11):3257–3287, 2017). However, it has been shown to impose some limitations, e.g., no OSP mechanism can return a stable matching (Ashlagi and Gonczarowski in J Econ Theory 177:405–425, 2018). We here deepen the study of the limitations of OSP mechanisms by looking at their approximation guarantees for basic optimization problems paradigmatic of the area, i.e., machine scheduling and facility location. We prove a number of bounds on the approximation guarantee of OSP mechanisms, which show that OSP can come at a significant cost. However, rather surprisingly, we prove that OSP mechanisms can return optimal solutions when they use monitoring—a novel mechanism design paradigm that introduces a mild level of scrutiny on agents’ declarations (Kovács et al. in WINE 9470:398–412, 2015).
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DOI:
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发表时间:
2019
期刊:
Workshop on Internet and Network Economics
影响因子:
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作者:
Diodato Ferraioli;Adrian Meier;P. Penna;Carmine Ventre
通讯作者:
Carmine Ventre
DOI:
--
发表时间:
2019
期刊:
ACM Conference on Economics and Computation
影响因子:
--
作者:
M. Pycia;Peter Troyan
通讯作者:
Peter Troyan
DOI:
--
发表时间:
2018
期刊:
Games Econ. Behav.
影响因子:
--
作者:
Andrew Mackenzie
通讯作者:
Andrew Mackenzie
影响因子:
0.5
作者:
E. Koutsoupias
通讯作者:
E. Koutsoupias
DOI:
--
发表时间:
2018
期刊:
International Joint Conference on Artificial Intelligence
影响因子:
--
作者:
Diodato Ferraioli;Carmine Ventre
通讯作者:
Carmine Ventre