Coordination and cooperation are one of the most important topics in the study of Multi-Robot. Currently, the combination of agent theory and technology with the research of robot is very popular.
多机器人协调与协作是机器人研究领域的一个重要课题，将智能体理论与多机器人研究相结合又是当前研究的一个热点。
This paper presents a method of solving the problem of network study pattern recognition based on data fusion theory and mobile agent (MA) technology in view of network study factors.
从分析网络学习因素的角度出发，提出了利用数据融合理论和使用移动代理技术解决网络学习模式识别的问题。
In this paper, begin with agent technology - rough set theory and ANN technology have been applied to research on financial risk.
本文的研究是从智能理论角度着手，把粗糙集理论与神经网络技术应用于我国上市公司财务预警的研究当中。
With multi-objective optimization technology and dynamic cooperative game theory, this paper introduced a multi-agent objective optimization model, which could adapt to dynamic environments.
通过多目标优化和动态合作博弈理论，定义了联盟中多主体目标优化问题，提出了能够适应动态环境的基于合作博弈的多主体目标优化模型。
With multi-objective optimization technology and dynamic cooperative game theory, this paper introduced a multi-agent objective optimization model, which could adapt to dynamic environments.
通过多目标优化和动态合作博弈理论，定义了联盟中多主体目标优化问题，提出了能够适应动态环境的基于合作博弈的多主体目标优化模型。
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