Analysis and Interventions in Large Network Games
Analysis and Interventions in Large Network Games
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DOI：
10.2139/ssrn.3692826
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发表时间：
2020-09
期刊：
影响因子：
--
通讯作者：
F. Parise;A. Ozdaglar
中科院分区：
文献类型：
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作者：
F. Parise;A. Ozdaglar
我们回顾经典的结果和最近的进展，在网络游戏的均衡分析，动态和最佳干预连续和离散的战略集。我们研究了确定性网络中的战略互动以及从随机网络形成模型生成的网络。对于前一种情况，我们回顾了一个统一的分析框架的基础上变分不等式理论。对于后者的情况下，我们强调如何知识的随机网络形成模型可以使用的中央规划设计干预大型网络在计算效率的方式时，精确的网络数据不可用。
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.