Artificial Intelligence

    

Multiple Causation and Correlations

Authors: Ait-taleb Nabil

In the context of multiple causation, I will introduce the causation function. This function is a quadratic form computed from the correlations and serves as a generalization of R-squared, commonly found in machine learning. In this report, the causation function will make the link between the correlations and causal relationship. By examining the causation function through an illustrative example, we will demonstrate how strong or weak correlations between multiple causes and a variable can imply either a highly likely or unlikely causal relationship between the causes and the variable.

Comments: 11 Pages.

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[v1] 2024-04-14 22:12:50

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