Abstract
Knowledge-based CAD systems limit designers’ creativity by constraining them to work with the prototypes provided by the system’s knowledge base. We investigate knowledge-based CAD systems capable of supporting creative designs in the example domain of elementary mechanisms. We present a technique based on a form of explanation-based learning which allows a designer to extend the knowledge base by demonstrating a structure which implements a function in a creative way. Structure is defined as the geometry of the parts, and function using a general logical language based on qualitative physics. We argue that the technique can accommodate any creative design in the example domain, and we demonstrate the technique using an example of a creative design.
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© 1994 Springer Science+Business Media Dordrecht
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Sun, K., Faltings, B. (1994). Supporting Creative Mechanical Design. In: Gero, J.S., Sudweeks, F. (eds) Artificial Intelligence in Design ’94. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0928-4_3
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DOI: https://doi.org/10.1007/978-94-011-0928-4_3
Publisher Name: Springer, Dordrecht
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