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中文摘要：
针对知识化制造系统生产环境的不确定性,构建一个基于多Agent可互操作的知识化动态调度系统.该系统对各种调度问题采用具有一系列问题特征的知识表示,利用Agent技术构建基于问题的功能模块,提出一种基于改进-学习算法（WSQ）的自适应调度机制,以此指导设备Agent在动态环境下的调度策略选择.通过对其进行复杂性分析和仿真实验,验证了该控制策略的有效性.该系统具有自适应和自学习特征,具有高度智能化和可互操作性.
英文摘要：
Aiming to the uncetainty of production enviroment in knowledgeable manufacturing system,an interoperable knowledgeable dynamic scheduling system based on multi-agent is built,in which a knowledge representation with a series of problem characteristics for various scheduling problems is adopted and problem-based function modules are constructed by using agent technology.An adaptive scheduling mechanism based on modified-learning agrorithm known as weighted subordination based-learning（WSQ） is proposed for guiding the equipment agent to select scheduling strategy in a dynamic enviroment.By the analysis of its complexity and simulation experiments,the results show the effectiveness of this strategy.The system is of adaptive and self-learning features,and high intelligence and interoperability.
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