Differential models integrated into strategies for optimization of information content of environments with randomness based on ai systems

Based on the analysis of the evolution of the mass use of artificial intelligence, the direction of research related to the optimization of the information content of the modes of operation of environments with randomness is substantiated. Models of reducing the features reflecting the characteristics of the environment to a single scale are considered. For a wide class of objects with a finite or continuous number of states, represented by Kolmogorov equations, procedures for their identification are substantiated. Differential models are proposed, integrated into optimization strategies by using discrete differential spectrum, which is a reflection of the information content of the environment in the differential domain. Models are considered, integrated into strategies for choosing actions of optimization procedures