Exploring Migration Issue Based on Multi-agent Modeling
| Autor: | Pengfei Liu, Enkai Chen, Weifeng Zhang, Xiaxu He |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
021103 operations research Operations research NetLogo Computer science Process (engineering) media_common.quotation_subject 05 social sciences Visibility (geometry) Immigration 0211 other engineering and technologies 02 engineering and technology Modeling and simulation Empirical research 0502 economics and business Path (graph theory) Conceptual model computer computer.programming_language media_common |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811316470 |
| DOI: | 10.1007/978-981-13-1648-7_32 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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