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Generating Social Environment for Agent-Based Models of Computational Economyстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 7 июля 2021 г.
- Авторы: Mashkova Aleksandra L., Nevolin Ivan V., Savina Olga A., Burilina Maria A., Mashkov Evgeniy A.
- Сборник: Electronic Governance and Open Society: Challenges in Eurasia
- Серия: Communications in Computer and Information Science
- Год издания: 2020
- Издательство: Springer International Publishing AG
- Местоположение издательства: Cham, Switzerland
- Первая страница: 291
- Последняя страница: 305
- DOI: 10.1007/978-3-030-67238-6_21
- Аннотация: The article is devoted to methods of simulating population and social environment in agent-based computational economy models: the agent model of the spatial development of the Russian Federation and the model of anemia dynamics among Russian population. We present structure of the models and their databases. Information support of the model is based on statistical yearbooks, SPARK-Interfax database, RLMS survey results and websites of the ministries, including demographic structure of the population, production, import, export, employment, financial characteristics of organizations and households and other parameters. Since this information is presented in different sources, it is necessary to convert it to the structure that matches the input tables. For this task we use iterative proportional fitting algorithm; as an example we show sequence of iterations for aggregating information about the regional labor market. The model database is filled with the objects, which are generated using initial modeling data; all required interrelations are set among them. Simulation results show objects that have been created in the Russian Federation and in a separate region.
- Добавил в систему: Неволин Иван Викторович