A Computational Approach to Engineering Idea Generation

有人建议检验这样一种假设，即新设备的物理描述可以从对类似设备的物理和功能特征的知识中综合出来。该方法建立在机器学习领域发展的概念之上。关于通过了解物理描述和推断功能定义来学习对对象进行分类的研究提供了使用实例从功能定义学习物理描述的洞察力。这项研究将集中于为机械设计领域中的特定问题生成解决方案。这一领域的进展可以对理解概念设计作出重大贡献。

It is proposed to test the hypothesis that physical descriptions of new devices can be synthesised from knowledge about the physical and functional characteristics of analogous devices. The approach builds upon concepts developed in the area of machine learning. Research on learning to categorize objects by knowing a physical description and inferring a functional definition has provided the insight to use examples to learn a physical description from a functional definition. This research will concentrate on generating solutions to defined problems in the mechanical design domain. Progress in this area could make a significant contribution to understanding conceptual design.