Application of cognitive tools in researches of economic models of food providing

The subject of the study is an assessment of the impact of components on food providing through cognitive modeling. Topicality. In today's dynamic conditions of the functioning of the economy, it is becoming more difficult to develop safe strategies for such complex systems as the food providing system. At the same time, the use of cognitive methods makes it possible to analyze influence factors, the strength of their interaction, and graphically display cause–effect relationships in a variable, poorly structured system in order to make optimal managerial decisions. The purpose of the article is to study the methods of cognitive modeling of complex economic systems to ensure food security of the national economy. Methodology. The methodological basis of the article was the cognitive modeling method, with the help of which the factors of influence on the system were determined, the relationships between them were identified and a model was constructed in the form of a cognitive map. This made it possible to conduct a three–component scenario analysis, identify the nature of the model change and determine its bottleneck, which is the strategy of stimulating agricultural production. Results. The components of the development of the national economy from the perspective of ensuring its food security are analyzed. An adjacency matrix and a cognitive map of a safe food– providing model are constructed. Impulse modeling of the influence of certain components was carried out and the level of their influence on the food security system was determined. Area of application. The results of cognitive modeling of the influence of factors on food security can be used to develop a strategy for the development of the agricultural sector in the context of dynamic changes in the economy. Conclusions. The cognitive methodology and software system FCM (Fuzzy–Logic Cognitive Mapping) is a tool that helps to structure knowledge, systematically and comprehensively conduct research on a complex system. As a result of the scenario modeling, the influence of the three components on food security was investigated, which allows you to choose the best option and make decisions on its practical implementation