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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

A COMPUTATIONAL APPROACH FOR COMBINATIONAL CREATIVITY IN DESIGN

Chen, Liuqing; Wang, Pan; Shi, Feng; Han, Ji; Childs, Peter R. N.

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Type:
Papers
DS 92: Proceedings of the DESIGN 2018 15th International Design Conference
Year:
2018
Editor:
Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author:
Chen, Liuqing; Wang, Pan; Shi, Feng; Han, Ji; Childs, Peter R. N.
Series:
DESIGN
Section:
DESIGN INNOVATION
Page(s):
1815-1824
DOI number:
https://doi.org/10.21278/idc.2018.0375
Abstract:
Creativity is essential for innovative design. As an important topic in computational creativity research, how to model and generate creativity has sparked much interest. In this paper, combinational creativity is explored to provide potential semantic solutions and to generate visually synthesized solutions based on a given combination. This is achieved by a data-driven module and an artificial intelligence module respectively, which have been implemented as a creativity tool used in a design case study to demonstrate their effectiveness for assisting combinational creativity design.
Keywords:
design creativity, computational design methods, artificial intelligence (AI), data driven design, combinational creativity
DESIGN 2018 - 15th International Design Conference
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