Abstract
The purpose of the paper is to find out the behavior models of individual and group, also the path, rules and the relationship under the national environment in the process of population migration. Thus, the multi-Agent based modeling technology is used, to model the evolution process of population migration, including conceptual model, interaction rules and the rules of the game. Combined with typical immigration cases, the empirical research is carried out to verify the scientific nature of the model. The conclusions of this paper include: Agent based modeling method can integrate the actual situation and the behavior of individuals and groups; carrying out the modeling and simulation of long-term evolution of migration events can reveal the law of migration evolution. The study solves the problem of low visibility in current research of the population migration, and realizes a new method of intuitive and controllable concept of population migration, which provides experience and inspiration from a practical point of view.
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Acknowledgment
This research was financially supported by 2015 annual discipline construction project in Philosophy Social Sciences “12th Five-Year” planning of Guangdong Province (GD15XSH05), Natural Science Foundation of Guangdong Province, China (No. 2017A030313401, 2014A030313632, S2011040004387) and National Natural Science Foundation of China (No. 61375006, 11401223, 61402106).
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Liu, P., He, X., Zhang, W., Chen, E. (2018). Exploring Migration Issue Based on Multi-agent Modeling. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_32
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DOI: https://doi.org/10.1007/978-981-13-1648-7_32
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