Abstract：Traditional CIS modeling methods have disadvantages such as unilateralism, inactivity and homogeneity, which is difficult to describe inherent mechanism of the complex system exactly. Due to this problem, we propose a dynamic super-network modeling method on the basis of being driven by task-flow. Firstly, we construct a multi-field structure space model for CIS, and describe the dynamic mechanism of CIS by defining operational task space, function space and platform space, as well as mapping relationships between them. Secondly, we define function network as the static super-network, and then based on scheduling and consecution of tasks, we establish the dynamic super-network model driven by task-flow, with defining some correlative parameters. At last, we verify the effectiveness and maneuverability of the model by analyzing the simulation.
崔琼, 李建华, 冉淏丹, 南明莉. 任务流驱动的指挥信息系统动态超网络模型[J]. 复杂系统与复杂性科学, 2017, 14(3): 58-67.
CUI Qiong, LI Jianhua, RAN Haodan, NAN Mingli. A Dynamic Super-network Model of Command Information System Driven by Task-Flow. Complex Systems and Complexity Science, 2017, 14(3): 58-67.
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