attention has been paid to the research on agent and multi-agent system ( mas) because mas is an important branch of distributed artificial intelligence ( dai) and has become a hot spot of artificial intelligence ( ai) since 1990s.

multi-agent system modeling method for simulation is studied, and the primitive parameters in the conventional knowledge query and manipulation language ( kqml) are extended and the extended kqml language is implemented by c++ programming.

对基于多智能体系统的仿真建模方法进行了研究，并对传统的KQML（Knowledge Query and Manipulation Language）语言中的原语参数进行了一定的扩展，采用C++语言实现了这种扩展的KQML语言。

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based on graph theory and lyapunov stability theory, the adaptive control method is employed to achieve leader-following consensus in an undirected network of agents with nonlinear third-order dynamics against the perturbations.

基于图论和Lyapunov稳定性理论，使用自适应控制方法，使无向网络中非线性三阶多智能体系统达到自适应领导者跟随一致性，并有效地解决了扰动问题。

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research on mas ( multi-agent systems) and cscw ( computer supported cooperative work) has provided new concepts and effective methods for the successful realization of cims integration.

在实现CIMS的有效集成方面，多智能体系统（MAS）、计算机支持的协同工作（CSCW）提供了一种全新的理念与有效的手段。

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along with the problems which people need to be solved become complex increasingly, the researches on multi-agent system ( mas) have been developed to the level of society, viz. researching on multi-agent society.

随着人们需要解决的问题日益复杂，目前对多智能体系统（MAS，Multi-agent System）的研究已发展到社会层次，研究多智能体社会。

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multi-agent system ( mas) is becoming the spot of computer science and artificial intelligence. it is used to study how a group consisted of multiple agents manipulate knowledge in real time under complex dynamic environment.

多智能体系统（Multi-agent System，MAS）由于具有通过对多个智能体的协调，从而在动态环境下完成复杂任务的能力，因而成为计算机科学和人工智能的研究热点。

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multi-agent system ( mas) is an important field in artificial intelligence research, and swarm intelligence is a newly developed concurrent method for problem solving.

多智能体系统（MAS）理论是目前人工智能领域的热点问题之一，群智能算法是一种并行式问题求解方法。

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

随着多智能体系统（MAS）的发展和成熟，这一技术得到了广泛应用，近年来也受到控制界的关注。

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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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