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Agent Collaboration in a Multi-Agent-System for Analysis and Optimization of Mechanical Engineering Parts

机译:在多种子体系统中的代理合作,用于分析和优化机械工程零件

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摘要

In mechanical engineering, designers have to review a designed artefact iteratively with different domain experts, e.g. from manufacturing, to avoid later changes and find a robust, optimized design. To support the designer, knowledge-based engineering offers a set of approaches and techniques that formalize and implement engineering knowledge into generic product models or decision support systems. An implementation which satisfies especially the concurrent nature of today’s design processes and allow for multi-objective decision-making is multi-agent systems. Such systems consist of entities that are capable of autonomous action, interact intelligently with their environment, communicate and collaborate. In this paper, such a multi-agent system is discussed as extension for a computer-aided design software where the agents take the role of domain experts, like e.g. manufacturing technologists and make suggestions for the optimization of the design of mechanical engineering parts. A focal point is set on the collaboration concept of the single agents. Therefore, the paper proposes the use of an action-item-list as central information and knowledge sharing platform.
机译:在机械工程中,设计人员必须用不同的域专家迭代地审查设计的人工制品,例如,从制造中,避免后来的变化并找到一个坚固的,优化的设计。为了支持设计人员,基于知识的工程提供了一系列方法和技术,可以将工程知识正式化和实施到通用产品模型或决策支持系统中。一种满足当今设计过程的并发性质的实现,并且允许多目标决策是多智能体系。这些系统由能够进行自主行动的实体组成,智能地与其环境进行互动,沟通和协作。在本文中,这样的多种代理系统被讨论为计算机辅助设计软件的扩展,其中代理参与域专家的角色,如例如。制造技术人员,为机械工程零件设计提供建议。在单个代理的协作概念上设定了一个焦点。因此,本文建议使用动作项目列表作为中央信息和知识共享平台。

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