Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/47427
Title: Simulation of population’s reproductive behaviour patterns within an agent-oriented regional model
Authors: Makarov, V. L.
Bakhtizin, A. R.
Sushko, E. D.
Issue Date: 2015
Publisher: Уральский федеральный университет
Citation: Makarov V. L. Simulation of population’s reproductive behaviour patterns within an agent-oriented regional model / V. L. Makarov, A. R. Bakhtizin, E. D. Sushko // R-Economy. — 2015. — Vol. 1, Iss. 3. — P. 478-486.
Abstract: The study focuses on the research on how the unevenness of demographic transition affects the social and demographic characteristics and their dynamics of a region’s population. The research was conducted by means of computerized experiments (simulations) set within an original agent-oriented model. The study features the structure of the model represented by an artificial society, with its members (agents) being attributed their personal characteristics in such a way that they would imitate the gender and age of the region’s population. The agents are divided into two groups which differ in their reproductive strategy. Agents from Group 1 adhere to the traditional strategy characterized by a high birth rate, while the agents from Group 2 follow the modern strategy resulting in a markedly low birth rate. With the application of probabilistic mechanisms, the natural birth-death processes are imitated within the model. The extinction of agents occurs in accordance with the death rates adjusted for age and gender but remaining the same for the whole population. In the model, the appearance of new agents (birth of children) results from the choice made by reproductive-aged female agents, and their choice is influenced by the subjective traits determined by their group. The age and social structure of the regional population are generally formed as a result of the aggregation of particular agents’ activity. The model has been applied in a range of experiments on forecasting the number and structure of the population in an assumed region. The results showed that despite the apparent simplification of the reality, the developed agent-oriented model correctly represents both the initial condition of the regional population including the gender, age and social structure and the dynamics of the population’s basic characteristics.
Keywords: AGENT-BASED MODELING
DEMOGRAPHY
TYPES OF POPULATION REPRODUCTION
FORECASTING OF POPULATION SIZE AND STRUCTURE OF THE REGION
URI: http://hdl.handle.net/10995/47427
RSCI ID: https://elibrary.ru/item.asp?id=29226956
ISSN: 2412-0731
DOI: 10.15826/recon.2015.3.011
metadata.dc.description.sponsorship: The research has been supported by the Russian Science Foundation (Project № 14-18-01968).
RSCF project card: 14-18-01968
Origin: R-Economy. 2015. Vol. 1. Iss. 3
Appears in Collections:R-Economy

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