We introduce the concept of Automated Causal Discovery (AutoCD), defined as any system that aims to fully automate the application of causal discovery and causal reasoning methods. AutoCD's goal is to deliver all causal information that an expert human analyst would and answer a user's causal queries. We describe the architecture of such a platform, and illustrate its performance on synthetic data sets. As a case study, we apply it on temporal telecommunication data. The system is general and can be applied to a plethora of causal discovery problems.

翻译：我们提出自动化因果发现（AutoCD）的概念，并将其定义为旨在完全自动化因果发现与因果推理方法应用的任何系统。AutoCD的目标是提供专业人类分析师所能获取的全部因果信息，并回答用户的因果查询。我们描述了此类平台的架构，并在合成数据集上展示了其性能。作为案例研究，我们将其应用于时域电信数据。该系统具有通用性，可应用于大量因果发现问题。