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Inference of causal relations from data now has become an important field inartificial intelligence. During the past 16 years, causality analysis (in aquantitative sense) has been developed independently in physics from firstprinciples. This short note is a brief summary of this line of work, includingpart of the theory and several representative applications.

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