使用黑板架构的自动化系统的基于声明式知识的重新配置

M. Haage, J. Malec, Anders Nilsson, K. Nilsson, Sławomir Nowaczyk
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引用次数: 18

摘要

这篇文章描述了在欧洲项目SIARAS(用于可重构自动化系统的基于技能的检查和装配)中选择的知识表示技术的工作结果。其目标是为基于机器人的制造单元的重新配置和适应创建智能支持系统。声明性知识首先在用OWL表示的本体中表示,用于一般的分类推理,然后在许多特定于应用程序领域的专用推理模块中表示。领域/相关模块在类似黑板的体系结构中组织。
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Declarative-knowledge-based reconfiguration of automation systems using a blackboard architecture
This article describes results of the work on knowledge representation techniques chosen for use in the European project SIARAS (Skill-Based Inspection and Assembly for Reconfigurable Automation Systems). Its goal was to create intelligent support system for reconfiguration and adaptation of robot-based manufacturing cells. Declarative knowledge is represented first of all in an ontology expressed in OWL, for a generic taxonomical reasoning, and in a number of special-purpose reasoning modules, specific for the application domain. The domain/dependent modules are organized in a blackboard-like architecture.
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