Understanding commonsense causality is a unique mark of intelligence for humans. It helps people understand the principles of the real world better and benefits the decision-making process related to causation. For instance, commonsense causality is crucial in judging whether a defendant's action causes the plaintiff's loss in determining legal liability. Despite its significance, a systematic exploration of this topic is notably lacking. Our comprehensive survey bridges this gap by focusing on taxonomies, benchmarks, acquisition methods, qualitative reasoning, and quantitative measurements in commonsense causality, synthesizing insights from over 200 representative articles. Our work aims to provide a systematic overview, update scholars on recent advancements, provide a pragmatic guide for beginners, and highlight promising future research directions in this vital field.

翻译：理解常识因果关系是人类智能的独特标志。它有助于人们更好地理解现实世界的运行原理，并有益于涉及因果关系的决策过程。例如，在判定法律责任时，常识因果关系对于判断被告的行为是否导致了原告的损失至关重要。尽管其意义重大，但针对这一主题的系统性探索却明显不足。我们的全面综述通过聚焦于常识因果关系中的分类体系、基准测试、获取方法、定性推理与定量测量，综合了来自200多篇代表性文献的见解，从而弥补了这一空白。我们的工作旨在提供一个系统性的概览，向学者们介绍最新进展，为初学者提供实用指南，并突出这一重要领域未来有前景的研究方向。