The methods and means of cognitive dynamic projection of fractal stochastic structures of complex systems are considered. These tools can be used as an explanatory tool for interpreting the results of artificial intelligence (AI) systems working on fractal multidimensional data. In addition to the explanatory effect, the proposed methods can provide quantitative estimates of multidimensional statistical relationships in terms of non-additive statistics (such as: Rainier or Tsalis entropy, conditional concentration of the fractal process, spectrum of fractal dimensions) inherent in both the ideology of multifractal analysis and the ideology of deep learning.
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Gorokhov et al. (2024) studied this question.
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