Knowledge representation for engineering design

Ludger Schmidt and Holger Luczak

International Journal of Product Development, 2005, vol. 2, issue 3, 191-206

Abstract: Engineering design tasks are mainly knowledge-intensive cognitive actions. Therefore, an adequate computer-based structure and representation of engineering design knowledge is a crucial point to support the design engineer's cognitive tasks. On the one hand, this knowledge representation should correspond to an intuitive way of thinking. On the other hand, this representation should comply with conscious systematic design methods without limiting human problem solving. In a first step of an analytical research approach, this contribution is concerned with deriving detailed requirements on a useful knowledge representation for computer-aided engineering design. For that purpose, generalised characteristics of human problem solving and information processing can be specified for design problem solving. According to their fulfilment of these requirements, eight main models of knowledge representation were compared concerning their utility to support human problem solving in engineering design. As a result of this evaluation, a useful model of knowledge representation is suggested and illustrated by an example of use.

Keywords: knowledge representation; engineering design; human information processing; design knowledge; problem solving; CAD; cognitive engineering. (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=7247 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:2:y:2005:i:3:p:191-206

Access Statistics for this article

More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().