大型网络游戏的分析与干预

F. Parise, A. Ozdaglar
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引用次数: 19

摘要

我们回顾了经典的结果和均衡分析的最新进展,动态,以及网络游戏中连续和离散策略集的最佳干预。我们研究了确定性网络中的策略交互以及由随机网络形成模型生成的网络。对于前一种情况,我们回顾了基于变分不等式理论的统一分析框架。对于后一种情况,我们强调了当没有精确的网络数据时,中央计划者如何使用随机网络形成模型的知识,以计算高效的方式设计大型网络的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and Interventions in Large Network Games
We review classic results and recent progress on equilibrium analysis, dynamics, and optimal interventions in network games with both continuous and discrete strategy sets. We study strategic interactions in deterministic networks as well as networks generated from a stochastic network formation model. For the former case, we review a unifying framework for analysis based on the theory of variational inequalities. For the latter case, we highlight how knowledge of the stochastic network formation model can be used by a central planner to design interventions for large networks in a computationally efficient manner when exact network data are not available.
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