Paper ID: 2112.14839

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

X. San Liang

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.

Submitted: Dec 31, 2021