We extend two kinds of causal models, structural equation models and simulation models, to infinite variable spaces. This enables a semantics for conditionals founded on a calculus of intervention, and axiomatization of causal reasoning for rich, expressive generative models -- including those in which a causal representation exists only implicitly -- in an open-universe setting. Further, we show that under suitable restrictions the two kinds of models are equivalent, perhaps surprisingly as their axiomatizations differ substantially in the general case. We give a series of complete axiomatizations in which the open-universe nature of the setting is seen to be essential.
翻译:我们把两种因果模型,结构等式模型和模拟模型,扩大到无限的可变空间。这样,就可以在开放的单方环境里对基于干预分数的有条件的模型进行语义学解释,并对丰富、直观的因果推理 -- -- 包括存在因果表示的因果推理 -- -- 进行不言而喻的分化。此外,我们表明,在适当的限制下,这两类模型是等同的,也许令人惊讶的是,一般情况下,它们的异性化差异很大。我们给出了一系列完整的非异性推理,在这种推理中,环境的开放性是必需的。