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{{COI|date=January 2022}}
 
There is a large [[body of knowledge]] that [[designer]]s call upon and use during the [[design process]] to match the ever-increasing complexity of design problems.<ref>X.F. Zha, H. Du, Knowledge intensive collaborative design modeling and support, part I: Review, distributed models and framework, Computers in Industry 57 (2006) 39–55</ref> '''Design knowledge''' can be classified into two categories:<ref>M. Stokes, Managing Engineering Knowledge: MOKA Methodology for Knowledge Based Engineering Applications, MOKA Consortium, London,2001.</ref> '''product knowledge''' and '''design process knowledge'''.
 
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==Design Process Knowledge==
'''Design process knowledge''' can be described in two levels: design activities and design rationale.<ref>X.F. Zha, R. D. Sriram, et al., Knowledge-intensive collaborative decision support for design process: hybrid decision support model and agent, Computers in Industry 59 (2008)</ref> The importance of representation for design rationale has been recognized but it is a more complex issue that extends beyond artifact function. The [[design structure matrix]] (DSM) has been used for modeling design process (activities) and some related research efforts have been conducted. For example, a web-based prototype system for modeling the [https://flynn-product-design.com product development] process using a multi-tiered DSM is developed at MIT. However, few research endeavors have been found on design rationale.<ref>F. Pena-Mora, R.D. Sriram, R. Logcher, SHARED DRIMS: SHARED design recommendation and intent management system, in: Enabling Technologies: Infrastructure for Collaborative Enterprises, IEEE Press,1993, pp. 213–221.</ref><ref>F. Pena-Mora, R.D. Sriram, R. Logcher, Conflict mitigation system for collaborative engineering, AI EDAM—Special Issue of Concurrent Engineering 9 (2) (1995) 101–123.</ref>
 
==Representation Scenarios==