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Observable systems consist of a huge number of their constituent elements and represent large random data. The laws of interaction of these elements, having the absence or a small number of initial parameters (in contrast to the "black box" with a very large number of them), determine the behavior of the entire complex system. The main value of the probabilistic approach lies in obtaining realistic models of the movement of microscopic objects and reduction to a macroscopic description based on a hierarchy of mathematical models, stochastic and averaged, which simultaneously serves as the basis for computational methods.