with the mature development of mas, mas is adopted in many aspects widely, and it is arousing attention in control field during recent years.

over the last few years, a multi-agent system ( mas) has been the subject of controversy in the field of distributed artificial intelligence.

多智能体系统（MAS）的协作是近年来分布式人工智能领域的研究热点。

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the mas multi-sensor management system structure is proposed based on the air defense of situation awareness in view of sensor management question.

针对防空态势感知信息网络的传感器管理问题，提出了基于多智能体系统（MAS）的多传感器管理体系结构。

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finally we established simulation system of a multi-agent control system with jade, a java agent development, and tested it in wfms.

最后利用JADE多智能体系统开发平台建立了一个多智能体控制系统，并通过实验验证了该系统的有效性及合理性。

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to solve the problem above, we use the hungary algorithm to realize the task allocation problem.

为了解决以上问题，我们用匈牙利算法（Hungary）实现了多智能体系统的任务分配。

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the theory and technology of multi agent systems ( mas) has been applied to the flexible manufacturing system.

分布式人工智能（DAI）领域中的多智能体系统（MAS）的理论和技术已经应用于柔性制造系统。

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the multi-agent system ( mas), has become an important research areas of artificial intelligence.

多智能体系统（MAS），已经成为人工智能领域的重要研究方向之一。

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research on multi-agent system of dynamic transportation scheduling based on dcom

基于DCOM的动态运输调度多智能体系统研究

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development and application of the technology on multi-agent system

多智能体系统（MAS）技术的研究与应用

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adopt popular java to realize production line mas, carry on dynamic model emulation with configuration software to system.

采用流行的Java语言来实现包装生产线多智能体系统，并用组态软件对系统进行动态模拟仿真。

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robotic soccer simulation game as a perfect platform is a new research domain on multi-agent system ( mas).

机器人足球比赛作为多智能体系统（Multi-agent System，MAS）的理想研究平台已成为复杂人工智能研究的一个新兴领域。

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the research on multi-agent system ( mas) has become the focus of computer science and artificial intelligence.

多智能体系统（Multi-agent System，MAS）的研究已经成为计算机科学和人工智能研究的热点。

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with the development of computer technology, research on the theory and application of multi-agent system ( mas) has become a hotspot in the field of artificial intelligence.

随着计算机技术的发展，分布式人工智能中多智能体系统（MAS：Multi-agent System）的理论及应用研究已经成为人工智能研究的热点。

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we propose a novel kripke model to represent and model agents' knowledge, belief, desire and intention. based on this kripke model, we developed some model checking techniques for the verification of mas.

根据智能体知识，信念，愿望和意图的表示和建模需求，提出新的Kripke语义模型，并在这一新的语义模型基础上研究多智能体系统的时态认知逻辑模型检测算法。

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firstly, the swarm-intelligence-based rescheduling model ( sirm) was presented.

首先，给出了基于群体智能思想的重调度模型；

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approximate dynamic job-shop scheduling optimization for semiconductor assembly based on swarm intelligence

半导体封装作业调度的群体智能近似动态优化

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an algorithm for comparing machine performance based on swarm intelligence clustering

一种基于群体智能聚类的设备性能横向比较算法

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a clustering model and optimized algorithm based on swarm intelligent theory

基于群体智能理论的聚类模型及优化算法

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the swarm intelligence algorithm on combination problems such as tsp are discussed. to overcome the limitation of classical algorithm of vq codebook design, an improved algorithm that combines the swarm intelligence algorithm with the lbg algorithm is proposed.

探讨了新兴的群体智能算法在解决诸如TSP组合问题的性能，并针对经典的矢量量化码书设计算法的固有缺陷，提出了一种将群体智能算法和LBG算法结合的码书设计算法。

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as a kind of swarm intelligence algorithm, particle swarm optimization ( pso) finds the optimal solution by means of simulating the biont behaviors of birds foraging and so on, its character of fast convergence rate makes it receive more and more attentions from people.

粒子群算法（PSO）作为一种群体智能算法，通过模拟鸟群觅食等生物行为来找寻最优，其收敛速度快的特性使其受到人们越来越多的关注。

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this algorithm uses convergent si ( swarm intelligence) to find the optimal ensemble with using the c4.5 decision trees classifiers as based learners. meanwhile, experiments are carried out on uci data sets.

该方法使用C4.5决策树分类器作为基学习器，利用高速收敛的群体智能算法来寻找最优集成模型，并在UCI数据库的多值分类数据集上进行了实验。

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