Baxter, D., Gao, J., Case, K., Harding, J., Young, B., & Cochrane, S. (2007). An engineering design knowledge reuse methodology using process modeling. Research in Engineering Design 18, 37–48.
Bracewell, R., Wallace, K., Moss, M., & Knott, D. (2009). Capturing design rationale. Computer-Aided Design 41(3), 173–186.
Chen, Y., Huang, J., & Xie, Y. (2012). Using part functions to capture various lifecycle requirements in detailed design. Proc. Int. Conf. Design Computing and Cognition, College Station, Texas, June 2012.
Chen, Y., Liu, Z., & Xie, Y. (2012). A knowledge-based framework for creative conceptual design of multi-disciplinary systems. Computer-Aided Design 44(2), 146–153.
Fenves, S.J., Foufou, S., Bock, C., & Sriram, S.D. (2008). CPM2: a core model for product data. Journal of Computing and Information Sciences in Engineering 8, 014501.
Gero, J.S. (1990). Design prototypes: a knowledge representation schema for design. AI Magazine 11(4), 26–36.
Goel, A.K., Rugaber, S., & Vattam, S. (2009). Structure, behavior and function of complex systems: the structure, behavior and function modeling language. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 23, 23–35.
Haug, A. (2012). The illusion of tacit knowledge as the great problem in the development of product configurators. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 26(1), 25–37.
Koza, J.R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: MIT Press.
Maier, J.R.A., & Fadel, G.M. (2009). Affordance-based design: a relational theory for design. Research in Engineering Design 20, 13–27.
Pahl, G., & Beitz, W. (2007). Engineering Design: A Systematic Approach. London: Springer-Verlag.
Szykman, S., Racz, J., Bochenek, C., & Sriram, R.D. (2000). A web-based system for design artifact modeling. Design Studies 21, 145–165.
Witherell, P., Krishnamurty, S., Grosse, I.R., & Wileden, J.C. (2010). Improved knowledge management through first-order logic in engineering design ontologies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, 245–257.