Critical condition identification and simulation of a continuous synergetic growth model based on dynamic software geogebra

Abstract

Artificial Intelligence (AI), the emergence and development of social system model, are gradually affecting the development of system engineering technology and methods. AI mainly focuses on acquiring new knowledge or skills by looking for rules from observation data (samples); social system model mainly focuses on the ability of description and model demonstration from the current situation to the future. The combination of AI and social system model can promote the research of social problems related to system engineering. The synergetic growth of various sectors of the economic system depends on the initial level of output of each sector and its internal relations. This paper focuses on the internal relationship of the two-sector economic model and explores the impact of distribution relations on the synergetic growth of sectors. The study found that the necessary conditions for synergetic growth is a function of the profit rate, the difference between the labor income (or capital income) of the two sectors, and the marginal consumption propensity. This function has a more complex and nonlinear characteristic. By demonstrating the effects of changes in some parameters, we find that an increase in the profit rate requires that the income distribution structure of the two sectors tend to be the same; an increase in the marginal consumption propensity can allow for greater differences in the income distribution structure of the two sectors.