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The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information

机译:信号结构:不完整信息游戏的因果相互依存模型

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Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals correspond to interpretations of available information. We show that the difference between these formulations can be sharply cast in terms of causal dependence structure, and employ graphical models to illustrate the distinguishing characteristics. The graphical representation supports inferences about signal patterns in the interpreted framework, and suggests how results based on the generated model can be extended to more general situations. Specific insights about bidding games in classical auction mechanisms derive from qualitative graphical models.
机译:传统的经济模型通常根据某些潜在国家生成的私人信息或信号。最近的工作具有探明替代模型,其中信号对应于可用信息的解释。我们表明,这些配方之间的差异可以在因果依赖结构方面急剧投射,并且采用图形模型来说明区别特征。图形表示支持对解释框架中的信号模式的推论,并建议基于所生成的模型的结果扩展到更大的情况。关于经典拍卖机制招标游戏的具体见解来自定性图形模型。

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