Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
173 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

An overview of the quantitative causality analysis and causal graph reconstruction based on a rigorous formalism of information flow (2112.14839v1)

Published 31 Dec 2021 in eess.SY, cs.AI, cs.SY, and physics.data-an

Abstract: Inference of causal relations from data now has become an important field in artificial intelligence. During the past 16 years, causality analysis (in a quantitative sense) has been developed independently in physics from first principles. This short note is a brief summary of this line of work, including part of the theory and several representative applications.

Summary

We haven't generated a summary for this paper yet.