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CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning

delete2022-01-01
delete11
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OA
AI
U
Utkarshani Jaimini
A
Amit Sheth *
DOI:10.1109/MIC.2021.3133551delete
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摘要

摘要

En 中文
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
Keyword:
Cognition
Internet

期刊

IEEE Internet Computing 封面图
IEEE Internet Computing
IF:
4.4
论文数:
2.0K
被引数:
2.0K

机构

U
University of South Carolina System
学者数:
1.6W
论文数: 1.5W
被引数: 27
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