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Some examples of the achievement of data concept in causal inference are: the use of directed info, minimum amount entropy couplings and common entropy for bivariate causal discovery; the usage of the knowledge bottleneck theory with purposes inside the generalization of equipment Understanding types; examining causal structures of deep neural netw