为了提高航空结构的损伤识别精度和速度，提出了一种基于互信息分类器选择的多主体决策融合方法。
In order to improve the aviation structure's damage identification accuracy and rate, a multi-agent decision fusion based on the mutual information classifier selection is proposed in this paper.
应用计算实验思想，采取自下而上的建模方法，采用多主体建模方式(abm)构建出供应链实验平台。
Applied computational experiment, took the bottom-up modeling method and used multi-agent modeling (ABM) to build a supply chain simulation platform.
本论文在复杂适应系统理论的框架下运用多主体仿真技术研究现实经济问题，其意义在于：首先，本课题是对经济学研究方法的一种探索。
In this paper, the significance of research on some practical economic problems with Multi-Agent simulation based on the complex adaptive system theory is presented.
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