Kononova K. Modelling of evolutionary processes in Information Economy

The thesis deals with the development of the concept and the set of evolutionary models of economic agents' interaction in the information economy. The modeling concept of evolution of economic agents' population combines the hipothesys of the economic theory of evolution, post-synthetic theory of evolution and the theory of information economics. The economic interpretation of the post-synthetic theory of evolution hypothesis has allowed predicting the prospects of the information economics as a new stage of economic evolution. The model set of macrogenerations evolution includes the analysis of parameters drift of the production function; model of macrogeneration lifecycle; model of macrogenerations identification and their parameters estimation based on empirical data. It has allowed studying the macrogenerations dynamics according to the stages of Information Economy; and identifying features of its development in the world and the problems in Ukraine. The multi-agent model of the evolution of economic agents' population has been developed. Sensitivity analysis of the multi-agent model has allowed describing the evolutionary regimes of the system. The method of ICT indexes analysis has been upgraded. The methodology of Information Economy statistical profiles analysis using artificial intelligence has allowed identifying its developing stages and justifying a set of specific priorities for each stage. Variable coefficients of competition have been added to the model of social networks users' interaction. Multi-agent model of social networks users' interaction formalize antagonistic, competitive, mixed agents' behavior. The set of forecasting models based on internet users' sentiment analysis has been developed.