COMMUNICATION OF COGNITIVE MODEL TOOLS WITH DIGITAL MODELING OF THE LAND RELATIONS SYSTEM BASED ON BIG DATA AND MACHINE LEARNING

DOI 10.33305/2311-33

Issue № 11, 2023, article № 4, pages 33-47

Section: Digitalization in agrarian and industrial complex

Language: Russian

Original language title: КОММУНИКАЦИЯ ИНСТРУМЕНТАРИЯ КОГНИТИВНЫХ МОДЕЛЕЙ С ЦИФРОВЫМ МОДЕЛИРОВАНИЕМ СИСТЕМЫ ЗЕМЕЛЬНЫХ ОТНОШЕНИЙ НА ОСНОВЕ БОЛЬШИХ ДАННЫХ И МАШИННОГО ОБУЧЕНИЯ

Keywords: LAND RELATIONS, INSTITUTIONS, NARRATIVES, ECONOMIC ENVIRONMENT, ECONOMIC AGENTS, LAND RENT, COGNITIVE MODEL, DIGITALIZATION, MACHINE LEARNING, BIG DATA

Abstract: One of the main circumstances that necessitated the development of a method for harmonizing tools and mechanisms of fuzzy cognitive models with digital modeling of land relations in the agricultural sector was the inadequate role of institutional economics in the developing world – the fight against narratives is fraught with restraint of inertial development. Against this background, the possibility of convergence of institutional and neoclassical economies in order to ensure economic growth without shocks from possible narratives is substantiated. The common features of the two methodological approaches to the regulation of land relations on the basis of: the theory of fuzzy sets (cognitive modeling); digitalization of land relations with the use of machine learning. The place (fields, space) of their communication and interaction is determined. The structure and content of the method of coordination in terms of initial information, basic tools and results of these two methodological approaches have been developed. A scheme for the functioning and coordination of analysis mechanisms and the results of institutional and digital models has been formed. The author's fuzzy cognitive model for institutional regulation of land relations has been developed. The content, formation and description of the machine learning process for a digital land valuation model is substantiated. The mechanisms of interaction and exchange of initial information and results of two different types of models are revealed. The possibility of using the created models as a platform and connecting to them the data of the distributed register of agricultural land using the "Blockchain" technology for institutional and parametric regulation of land relations against the background of the land valuation process is substantiated

Authors: Adadimova Liubov IUrevna, Poluliakh IUrii Georgievich, Bryzgalin Timur Valerevich