Abstract
Emergency management (EM) involves wide public concern over the recent years, and many researchers begin to quantitatively analyze the internal mechanism. We put forward a method to study EM by artificial society and computational experiment. The motivation of our research is to transform the emergency knowledge to simulation models, which support the computational experiment oriented to EM. Combined the ontology modeling and meta-modeling, we clarify the domain concepts oriented to EM, and establish the meta-models with GME tools. We also study the model transformation and code generation, which can realize the model semantic interoperability and support model execution. In the end, we provide a case and construct the artificial scenario oriented to public security emergency management (PSEM) based on EM meta-models.
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References
Epstein, J.M.: Growing Artificial Societies: Social Science from the Bottom Up. Brookings Institution Press (1996)
Wang, F.: Artificial Societies, Computational Experiments, and Parallel Systems: A Discussion on Computational Theory of Complex Social-Economic Systems. Complex System and Complexity Science 1, 25–35 (2004)
Duan, W., Cao, Z., Wang, Y., Zhu, B., Zeng, D., Wang, F.Y., Song, H.: An ACP Approach to Public Health Emergency Management: Using a Campus Outbreak of H1N1 Influenza as a Case Study. IEEE Transactions on Systems, Man, and Cybernetics–Part A: Systems and Humans 43, 1028–1041 (2013)
Juan, V., Esperanza, M.: A framework for model-driven development of information systems: Technical decisions and lessons. The Journal of Systems and Software 85, 2368–2384 (2012)
José, R.H., Jesús, G.M., Juan, A.B.: A domain-specific language for context modeling in context-aware systems. The Journal of Systems and Software 86, 2890–2905 (2013)
Zhiyang, J., Y.J., Y.S.: A Framework of Knowledge Management Systems for Tourism Crisis Management. Procedia Engineering 29, 138–143 (2012)
Nicolas, P., Jacky, A., Isabelle, C.W.: An MDA approach to knowledge engineering. Expert System with Applications 39, 10420–10437 (2012)
Antonio, D.N.: An MDA-based Approach to Crisis and Emergency Management Modeling. International Journal on Advances in Intelligent Systems 5(1) (2012)
Enrico, F.: A domain specific language approach for agent-based social network modeling. In: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 607–611 (2012)
Vanderbiit University: GME[EB/OL] (2005), http://www.isis.vanderbiit.edu/Projects/gme
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Zhang, P., Zhang, L., Fan, Z., Qiu, X. (2014). Knowledge Based Modeling Method of Artificial Society Oriented to Emergency Management. In: Ma, S., Jia, L., Li, X., Wang, L., Zhou, H., Sun, X. (eds) Life System Modeling and Simulation. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45283-7_29
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DOI: https://doi.org/10.1007/978-3-662-45283-7_29
Publisher Name: Springer, Berlin, Heidelberg
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