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Published in:
2014 | OriginalPaper | Chapter
Knowledge Based Modeling Method of Artificial Society Oriented to Emergency Management
Authors : Peng Zhang, Laobing Zhang, Zongchen Fan, Xiaogang Qiu
Published in: Life System Modeling and Simulation
Publisher: Springer Berlin Heidelberg
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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.