论文标题
等效因果模型
Equivalent Causal Models
论文作者
论文摘要
本文的目的是在两种模型都不由相同变量组成的情况下提供第一个系统探索和对等效模型的定义。这个想法是，当两个模型就可以使用其共同变量表示的所有“基本”因果信息达成共识时，它们是等效的。我这样做是通过重点关注因果模型的两个主要特征，即它们的结构关系及其功能关系。特别是，我定义了因果血统的几种关系和因果关系的几种关系，并要求这些关系中最笼统的关系保留在等效模型之间。
The aim of this paper is to offer the first systematic exploration and definition of equivalent causal models in the context where both models are not made up of the same variables. The idea is that two models are equivalent when they agree on all "essential" causal information that can be expressed using their common variables. I do so by focussing on the two main features of causal models, namely their structural relations and their functional relations. In particular, I define several relations of causal ancestry and several relations of causal sufficiency, and require that the most general of these relations are preserved across equivalent models.
