Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2016

Abstract

How are the populations of the world likely to shift? Which countries will be impacted by sea-level rise? This paper uses a country-level agent-based dynamic network model to examine shifts in population given network relations among countries, which influences overall population change. Some of the networks considered include: alliance networks, shared language networks, economic influence networks, and proximity networks. Validation of model is done for migration probabilities between countries, as well as for country populations and distributions. The proposed framework provides a way to explore the interaction between climate change and policy factors at a global scale.

Keywords

Agent-based approach, Alliance networks, Dynamic network modeling, Human migration, Influence networks, Population change, Proximity networks, Shared language

Discipline

Artificial Intelligence and Robotics | Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering

Research Areas

Intelligent Systems and Optimization

Publication

WSC 2016: Proceedings of the Winter Simulation Conference 2016, Arlington, VA, December 11-14

First Page

3150

Last Page

3520

ISBN

9781509044849

Identifier

10.1109/WSC.2016.7822380

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors/LARC

Additional URL

https://doi.org/10.1109/WSC.2016.7822380

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