论文标题
对因果关系的介入检测的批评
A Critique on the Interventional Detection of Causal Relationships
论文作者
论文摘要
干预措施在珍珠的概率因果关系制度中至关重要。在本文中，我们将检查干预措施如何影响特定情况下因果模型中因果关系的解释。为此，我们将在因果系统中引入先验关系作为非因果关系。然后，我们将继续讨论干预措施可能导致虚假因果解释的案例。这包括对先验关系的介入检测，以及因果关系构成在自然情况下无效的结构性因果模型的情况。我们还将讨论先验关系和SCM的其他属性，这些属性在其结构方程中具有先验信息。
Interventions are of fundamental importance in Pearl's probabilistic causality regime. In this paper, we will inspect how interventions influence the interpretation of causation in causal models in specific situation. To this end, we will introduce a priori relationships as non-causal relationships in a causal system. Then, we will proceed to discuss the cases that interventions can lead to spurious causation interpretations. This includes the interventional detection of a priori relationships, and cases where the interventional detection of causality forms structural causal models that are not valid in natural situations. We will also discuss other properties of a priori relations and SCMs that have a priori information in their structural equations.
