How things work: knowledge-based modeling of physical devices
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abstract: The broad body of knowledge and tasks in engineering and physical science isof major applied interest to our governmental and industrial sponsors and ofintrinsic interest to us. The textbook knowledge of engineering and physicalscience is usually well worked out and often has a strong theoretical basis.Other less formalized engineering knowledge, such as the assumptions andrationale that go into the design of an artifact, is extremely valuable. Forthese reasons, our research focuses on knowledge about engineered devices thatdescribes their structure and how and why they work.In this research, we aim to contribute to the development of a comprehensivebody of knowledge and reasoning methods in the realm of physics andengineering, embodied in a computationally useful form. We and ourcollaborators in universities and companies aim to provide a substrate offundamental knowledge of physics and engineering upon which multiple systemscan be built. Such a resource would support and motivate the development oftechniques for modeling designed artifacts. General-purpose device modelsrepresent knowledge that can be used for several reasoning tasks, such asexplaining how they work, why they are designed as they are, what might havecaused a past failure, how they might break or wear out, and how they might beredesigned.Many of the tasks that comprise engineering practice could be enhanced byknowledge-based device-modeling technology. Making a variety of modelingmethods accessible to engineers would facilitate the dissemination ofknowledge to other engineers, and help capture the knowledge that goes intothe engineering of devices. The engineering knowledge bases would serve as aninstitutional memory for engineering organizations, explicitly linkingupstream tasks such as design and specification with downstream tasks such asmanufacturing and maintenance.
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| Abstract | The broad body of knowledge and tasks in e … The broad body of knowledge and tasks in engineering and physical science isof major applied interest to our governmental and industrial sponsors and ofintrinsic interest to us. The textbook knowledge of engineering and physicalscience is usually well worked out and often has a strong theoretical basis.Other less formalized engineering knowledge, such as the assumptions andrationale that go into the design of an artifact, is extremely valuable. Forthese reasons, our research focuses on knowledge about engineered devices thatdescribes their structure and how and why they work.In this research, we aim to contribute to the development of a comprehensivebody of knowledge and reasoning methods in the realm of physics andengineering, embodied in a computationally useful form. We and ourcollaborators in universities and companies aim to provide a substrate offundamental knowledge of physics and engineering upon which multiple systemscan be built. Such a resource would support and motivate the development oftechniques for modeling designed artifacts. General-purpose device modelsrepresent knowledge that can be used for several reasoning tasks, such asexplaining how they work, why they are designed as they are, what might havecaused a past failure, how they might break or wear out, and how they might beredesigned.Many of the tasks that comprise engineering practice could be enhanced byknowledge-based device-modeling technology. Making a variety of modelingmethods accessible to engineers would facilitate the dissemination ofknowledge to other engineers, and help capture the knowledge that goes intothe engineering of devices. The engineering knowledge bases would serve as aninstitutional memory for engineering organizations, explicitly linkingupstream tasks such as design and specification with downstream tasks such asmanufacturing and maintenance. asks such asmanufacturing and maintenance. |
| Author | Thomas R. Gruber +, and Yumi Iwasaki + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-90-51 + |
| Month | August + |
| Number | KSL-90-51 + |
| Tag | Computer science + |
| Title | How Things Work: Knowledge-Based Modeling of Physical Devices + |
| Tr id | KSL-90-51 + |
| Year | 1990 + |
