CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning
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DOI：
10.1109/mic.2021.3133551
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发表时间：
2022-01
影响因子：
3.2
通讯作者：
Utkarshani Jaimini;A. Sheth
中科院分区：
文献类型：
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作者：
Utkarshani Jaimini;A. Sheth
人类在日常决策、计划和对生活事件的理解中使用因果关系和假设性回顾。1人类的思维在回顾给定情况时，会思考诸如“给定情况的原因是什么？”“我这么做会有什么效果？”“如果我再做一次会怎么样？”或者“哪种行为导致了这种效果”人类的大脑天生就理解因果关系。15它发展了一种世界的因果模型，用更少的数据点进行学习，进行推理，并考虑反事实的问题。2
Humans use causality and hypothetical retrospection in their daily decision-making, planning, and understanding of life events.1 The human mind, while retrospecting a given situation, think about questions such as “What was the cause of the given situation?,” “What would be the effect of my action?,” “What would have happened if I had taken another action instead?,” or “Which action led to this effect?” The human mind has an innate understanding of causality.15 It develops a causal model of the world, which learns with fewer data points, makes inferences, and contemplates counterfactual scenarios.8 The unseen and unknown scenarios are called “counterfactuals.”2