Abstract
We first characterize creativity in design from an information-processing perspective and analyze analogical thinking as a core process of design creativity. Then, we describe a computational theory of analogical design called model-based analogy. Next, we summarize empirical results from in situ observations of analogical thinking in biologically inspired design. Then, we analyze biologically inspired design from the viewpoint of model-based analogy. Finally, we briefly reflect on computational creativity research on analogical design.
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© 2019 Springer Nature Switzerland AG
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Goel, A. (2019). Computational Design, Analogy, and Creativity. In: Veale, T., Cardoso, F. (eds) Computational Creativity. Computational Synthesis and Creative Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-43610-4_7
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DOI: https://doi.org/10.1007/978-3-319-43610-4_7
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-43610-4
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