Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents
Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents
复制标题
扩展形式机制中的非明显可操作性:单参数智能体的揭示原理
DOI:
10.24963/ijcai.2023/278
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Carmine Ventre
中科院分区:
文献类型:
--
作者:
T. Archbold;B. D. Keijzer;Carmine Ventre
Recent work in algorithmic mechanism design focuses on designing mechanisms for agents with bounded rationality, modifying the constraints that must be satisfied in order to achieve incentive compatibility. Starting with Li's strengthening of strategyproofness, obvious strategyproofness (OSP) requires truthtelling to be "obvious" over dishonesty, roughly meaning that the worst outcome from truthful actions must be no worse than the best outcome for dishonest ones. A celebrated result for dominant-strategy incentive-compatible mechanisms that allows us to restrict attention to direct mechanisms, known as the revelation principle, does not hold for OSP: the implementation details matter for the obvious incentive properties of the mechanism. Studying agent strategies in real-life mechanisms, Troyan and Morrill introduce a relaxation of strategyproofness known as non-obvious manipulability, which only requires comparing certain extrema of the agents' utility functions in order for a mechanism to be incentive-compatible. Specifically a mechanism is not obviously manipulable (NOM) if the best and worst outcomes when acting truthfully are no worse than the best and worst outcomes when acting dishonestly. In this work we first extend the cycle monotonicity framework for direct-revelation NOM mechanism design to indirect mechanisms. We then apply this to two settings, single-parameter agents and mechanisms for two agents in which one has a two-value domain, and show that under these models the revelation principle holds: direct mechanisms are just as powerful as indirect ones.
DOI:
--
发表时间:
2022
期刊:
Advances in neural information processing systems
影响因子:
--
作者:
Psomas, Alexandros;Verma, Paritosh
通讯作者:
Verma, Paritosh
影响因子:
1.1
作者:
Ferraioli D
通讯作者:
Ferraioli D