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Агентная модель российской социально-экономический системыстатья
- Авторы: Bakhtizin Albert, Bakhtizina Nafisa, Makarov Valery
- Журнал: Искусственные общества
- Том: 1
- Год издания: 2006
- Издательство: Федеральное государственное бюджетное учреждение науки Центральный экономико-математический институт РАН
- Местоположение издательства: Москва
- Первая страница: 6
- Аннотация: The work deals with the computable general equilibrium (CGE) model of Russian socio-economic system with built in neural networks. The authors model bounded rationality of Russian households with the use of neural networks - the most popular apparatus in artificial intellect modeling. The equilibrium state, reflected in aggregate supply and demand equality in the model markets for goods and services, is reached upon iterative recalculations with the use of various equalizing mechanisms. Besides that at each iteration 3 neural networks determine labor mobility parameters, and other 2 networks find the shares of household budgets going to final goods consumption, savings and buying of currency. Neural networks teaching process was implemented with the help Russia Longitudinal Monitoring Survey (RLMS) database. The work provides a review of the major approaches in the field of artificial intellect, outlines the most noted literature on economic agents modeling on the assumption of bounded rationality of their behavior. An example of computational simulation, which determines the consequences of Unified social tax decrease, is given in the end of the work.