DocumentCode :
1877673
Title :
Towards full scale population dynamics modelling with an agent based and micro-simulation based framework
Author :
Singh, Karandeep ; Sajjad, Mazhar ; Chang-Won Ahn
Author_Institution :
Dept. of Comput. & SW, Univ. of Sci. Technol., Daejeon, South Korea
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
495
Lastpage :
501
Abstract :
Microsimulation and multi agent based simulation are two popular simulation techniques which give us results that could be related to the real world phenomena. Simulation in general has been an important method for analyzing many phenomena and has been used extensively in modelling and simulating the population dynamics. The usage of these techniques have enabled us to perform various different multi-dimensional policy experiments of the `virtual´ population and analyze the impact of those policies. These two techniques are popular but there is a need to build a generalized and full scale modelling of population dynamics which can support simulation of various kinds with millions of agents. There are some differences between the two techniques and also there are some drawbacks. The model should incorporate positive aspects of the microsimulation and agent based modelling and should support simulation of all the demography related aspects.
Keywords :
demography; multi-agent systems; social sciences computing; agent based framework; agent based modelling; demography related aspects; full scale population dynamics modelling; microsimulation based framework; multiagent based simulation; multidimensional policy experiments; population dynamics simulation; virtual population; Analytical models; Biological system modeling; Computational modeling; Data models; Market research; Sociology; Statistics; Agent Based Modelling; Demography; Full Scale Social Simulation; Microsimulation; Population Dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2015 17th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9968-6504-9
Type :
conf
DOI :
10.1109/ICACT.2015.7224844
Filename :
7224844
Link To Document :
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