The article is devoted to using the cognitive modeling method for carrying out a regional development strategy in a dynamically changing and difficult-to-predict external environment. The article constructs a cognitive map and, based on it, a binary adjacency matrix, which includes ten key factors of regional development, from human capital to exogenous regulators. The article provides a description of the model construction, an analysis of its structure, and impulse modeling using artificial intelligence. The results obtained indicate that cognitive modeling is an effective tool for visualizing complex interdependencies between factors, allowing predicting changes in the values of model factors by simulating changes in the internal and external environment of the region.
A Tue, study studied this question.