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A computational approach for combinational creativity in design

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Title: A computational approach for combinational creativity in design
Authors: Chen, L
Wang, P
Shi, F
Han, J
Childs, PRN
Item Type: Conference Paper
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.
Issue Date: 1-Jun-2018
Date of Acceptance: 21-Mar-2018
URI: http://hdl.handle.net/10044/1/112346
DOI: 10.21278/idc.2018.0375
ISBN: 9789537738594
Publisher: Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia; The Design Society, Glasgow, UK
Start Page: 1815
End Page: 1824
Journal / Book Title: DS 92: Proceedings of the DESIGN 2018 15th International Design Conference
Copyright Statement: © 2018 The Design Society. All rights reserved.
Conference Name: 15th International Design Conference
Publication Status: Published
Start Date: 2018-05-21
Finish Date: 2018-05-24
Conference Place: Dubrovnik, Croatia
Online Publication Date: 2018-06-01
Appears in Collections:Dyson School of Design Engineering