首页> 外文会议>Proceedings of the 2006 International Conference on Machine Learning and Cybernetics >A DESIGNING METHOD OF SIMULATION SOFTWARE FOR CHINESE TRAIN CONTROL SYSTEM BASED ON HYBRID SOFTWARE AGENT MODEL
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A DESIGNING METHOD OF SIMULATION SOFTWARE FOR CHINESE TRAIN CONTROL SYSTEM BASED ON HYBRID SOFTWARE AGENT MODEL

机译:基于混合软件Agent模型的列车控制系统仿真软件设计方法

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Chinese Train Control System (CTCS) is one of real-time distributed supervising and control systems that have the distributed physical entities needing cooperation to accomplish their local goal, make possible decisions, execute actions, negotiate through the communication protocol to reach global criterion. For designing CTCS simulation software, the hybrid software agent model that is adapted to other distributed supervising and control systems is developed on the basis of deliberative and reactive agent concepts and we discuss the interesting characteristics of this model. The proposed designing method for CTCS level 4 as MAS mainly involves building an ontology model by using UML, specifying interaction protocols formally by Petri net and determining the real-time and deliberative behavioral rules based on the ontology. The reactive memory is introduced to the model for guaranteeing to respond urgent events in real-time. The deliberative part of agent model enables it to do complex tasks based on agent's mental states and input events.
机译:中国列车控制系统(CTCS)是一种实时分布式监控系统,其分布式物理实体需要合作才能实现其本地目标,做出可能的决策,执行动作,通过通信协议进行协商以达到全局标准。为了设计CTCS仿真软件,在协商和反应性代理概念的基础上,开发了适用于其他分布式监督和控制系统的混合软件代理模型,并讨论了该模型的有趣特性。为CTCS 4级作为MAS提出的设计方法主要包括使用UML建立一个本体模型,由Petri网正式指定交互协议并基于该本体确定实时和可协商的行为规则。反应性存储器被引入到模型中,以保证实时响应紧急事件。代理模型的审议部分使它能够根据代理的心理状态和输入事件来执行复杂的任务。

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