Info Intervention
July 24, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Gong Heyang, Zhu Ke
arXiv ID
1907.11090
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG,
stat.ME,
stat.ML
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Causal diagrams based on do intervention are useful tools to formalize, process and understand causal relationship among variables. However, the do intervention has controversial interpretation of causal questions for non-manipulable variables, and it also lacks the power to check the conditions related to counterfactual variables. This paper introduces a new info intervention to tackle these two problems, and provides causal diagrams for communication and theoretical focus based on this info intervention. Our info intervention intervenes the input/output information of causal mechanisms, while the do intervention intervenes the causal mechanisms. Consequently, the causality is viewed as information transfer in the info intervention framework. As an extension, the generalized info intervention is also proposed and studied in this paper.
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