Journal of System Simulation
Abstract
Abstract: Dynamic data driven application systems (DDDAS) is an important part in the intelligent ACP based experimental approach. With the development of information technologies such as big data, intelligent learning, game play theory, the modes of application of DDDAS in simulation cases have changed a lot. In order to meet the requirements of the researches in both physics domain and social domain, the applications of DDDAS in classical cases are summarized. The data assimilation in the two physics cases is illustrated in detail. Then the cases in social domain which is focused by safety science are also discussed. The summary is given and the future works are listed.
Recommended Citation
Chen, Bin; Wang, Yiping; Qiu, Xiaogang; Liang, Liu; and Liang, Ma
(2019)
"Think of the Dynamic Data Driven Application Systems in Simulation: from Physics Domain to Social Domain,"
Journal of System Simulation: Vol. 30:
Iss.
12, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201812007
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss12/7
First Page
4546
Revised Date
2018-07-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201812007
Last Page
4554
CLC
TP391.9
Recommended Citation
Chen Bin, Wang Yiping, Qiu Xiaogang, Liu Liang, Ma Liang. Think of the Dynamic Data Driven Application Systems in Simulation: from Physics Domain to Social Domain[J]. Journal of System Simulation, 2018, 30(12): 4546-4554.
DOI
10.16182/j.issn1004731x.joss.201812007
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