A Computational Approach to Engineering Idea Generation

这是为了检验假设，物理描述的 新的设备可以从有关物理的知识合成， 模拟装置的功能特性。 该方法建立在机器领域开发的概念之上 学习 基于知识的对象分类学习研究 物理描述和推断功能定义提供了 洞察力使用的例子来学习物理描述从一个 功能定义。 这项研究将集中在产生的解决方案，以确定 机械设计领域的问题。 这一领域的进展可能会 为理解概念设计做出了重大贡献。

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.