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首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part A >Knowledge representation-oriented nets for discrete event system applications
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Knowledge representation-oriented nets for discrete event system applications

机译:面向知识表示的网络,用于离散事件系统应用

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This paper presents knowledge representation-oriented nets (KRON), a knowledge representation schema for discrete event systems (DES). KRON enables the representation and use of a variety of knowledge about a DES static structure and its dynamic states and behavior. It is based on the integration of high-level Petri nets with frame-based representation techniques and follows the object-oriented paradigm. The main objective considered in its definition is to obtain a comprehensive and powerful representation model for data and control of DES. The use of the DES behavioral knowledge is governed by a control mechanism stored in a separate inference engine. KRON provides an efficient execution mechanism to make the models evolve. This is an adaptation of the RETE matching algorithm in order to deal with the features provided by high-level Petri nets and it takes advantage of its integration with a frame/object-oriented representation schema, Moreover, KRON facilitates dealing with decision points in the execution of nondeterministic models. A prototype of a simulation tool with graphical display and animation facilities has been implemented for KRON and it has been used in several case studies in the manufacturing systems domain.
机译:本文提出了面向知识表示的网络(KRON),这是离散事件系统(DES)的知识表示架构。 KRON可以表示和使用有关DES静态结构及其动态状态和行为的各种知识。它基于高级Petri网与基于框架的表示技术的集成,并且遵循面向对象的范例。其定义中考虑的主要目标是获得用于DES数据和控制的全面而强大的表示模型。 DES行为知识的使用由存储在单独的推理引擎中的控制机制控制。 KRON提供了一种有效的执行机制来使模型发展。这是RETE匹配算法的一种改编,以便处理高级Petri网提供的功能,并利用其与面向框架/面向对象的表示模式的集成优势。此外,KRON有助于处理执行不确定性模型。具有图形显示和动画功能的仿真工具的原型已为KRON实施,并已在制造系统领域的多个案例研究中使用。

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