Концепция цифровой платформы российского сельского хозяйства, обеспечивающая сходимость к целям

Abstract

The aim of the work is to build a concept of a methodology for creating a national digital agricultural platform. The proposed approach ensures the optimal integration of various design methods in the context of multiple goals and ambitious strategic guidelines. The need to change the paradigm of the traditional direct design of digital platforms with a rigid order of implementation of the stages is shown. Reverse order of integration of the existing approaches is required with output to achieve such strategic goals that deny the possibility of an inertial design path. The stated strategic goals are much higher than the results that could be expected when extrapolating the existing dynamics of indicator values. Inverse decision-making processes are characterized by a non-stable nature of decisions, and, as a consequence, by a plurality of ways to achieve strategic goals. The methodology was built using the architectural approach, artificial intelligence (AI) methods, and the author›s convergent methodology. The latter is based primarily on methods for inverse problems solving on cognitive (conceptual) models and big data analysis to check the completeness and accuracy of the models. for example, by quantum and wave effects. This approach to the construction of the desired methodology made it possible to combine a number of methodological solutions from a wide range of alternatives and create an appropriate hybrid methodology that will provide an accelerated convergence to the outlined strategic goals of the development of the Russian agro-industrial complex.