New directions in computational, combinational and structural creativity
Author(s)
Garvey, Bruce
Chen, Liuqing
Shi, feng
Han, J
Childs, peter
Type
Journal Article
Abstract
This paper examines how new and creative relationships in data sets, not easily revealed by conventional information retrieval methods and technologies, can be identified using a mix of established and new methods. The authors present how the integration of computerised Morphological Analysis with new computational models, incorporating web crawler, data processing networking and data mining algorithms, can help facilitate the identification of new ideas. Boden’s concept of “Combinational Creativity” indicates a structured process which generates unfamiliar combinations of familiar concepts and constructs allowing creative styles of thought. This structured approach has been constrained by the resultant combinatorial explosion and the dearth of easily accessible computer software and supporting methodologies, to help identify viable new solutions. Feature enhanced computerised morphological analysis (MA), provides a new structural support tool for creativity and innovation. MA systematically structures and examines all the possible relationships in a multidimensional, highly complex, usually non-quantifiable problem space. Computerisation of the process now permits large numbers of configurations (millions) in the problem space to be majorly reduced (typically > 95%), identifying only internally consistent solutions. These solutions are likely to embrace configurations containing something which has not previously been considered, thus increasing the probability of some form of technological or design breakthrough and hence truly creative.
Date Issued
2019-01-01
Date Acceptance
2018-03-20
Citation
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233 (2), pp.425-431
ISSN
0954-4062
Publisher
SAGE Publications
Start Page
425
End Page
431
Journal / Book Title
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Volume
233
Issue
2
Copyright Statement
©MechE 2018. The final, definitive version of this paper has been published in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science by Sage Publications Ltd. All rights reserved. It is available at: https://journals.sagepub.com/doi/10.1177/0954406218769919
Subjects
Science & Technology
Technology
Engineering, Mechanical
Engineering
Morphological analysis
creativity
idea generation
data analysis
artificial intelligence
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2018-04-16