The article presents experimental materials on the use of digital technologies in the development of an expert system for assessing the features of the stochastic and speed properties of the sensorimotor response of adolescents who master educational programs of varying degrees of complexity. The computer program generated sensory fluxes with different stochastic structures, estimated the reaction time to visual and auditory stimuli, as well as the degree of correlation of reaction time values

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... ith each other. In the experiment, adolescents were presented with three speed tasks in which it was necessary to carry out the fastest motor responses to each stimulus of the flow, the experiment ended with a complex differentiating task, which required the participants in the experiment to urgently inhibit motor reactions to one of the visual stimuli. The study was conducted using an author's computer program, which is based on the concept of nonlinear dynamics of large interactive systems. The experiments involved students from two schools in St. Petersburg (the total number of samples was 50): an academic gymnasium with an enhanced physical and mathematical cycle and schools with a humanitarian direction in the educational program. It is shown that the stochastic organization of sensory fluxes, in which the physical characteristics of acoustic and visual stimuli are identical, determines the speed parameters of motor responses to stimuli in different ways, as well as the degree of connectedness of individual sensorimotor reactions among themselves in adolescents of two different schools. Students of the school with a physical and mathematical orientation in educational programs have shorter reactions to sound than to visual stimuli, are characterized by differentiated reactions to the degree of organization and complexity of sensory fluxes, which is associated with a higher non-verbal and general intelligence. In students of the humanitarian school, the nature of the sensorimotor response is significantly less mediated by the stochastic properties of sensory flows.