Dominant Design Prediction with Phylogenetic Networks
July 14, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Youwei He, Jeong-Dong Lee, Dawoon Jeong, Sungjun Choi, Jiyong Kim
arXiv ID
2407.10206
Category
cs.CE: Computational Engineering
Cross-listed
cs.AI,
cs.NE,
cs.SI
Citations
0
Venue
arXiv.org
Last Checked
2 months ago
Abstract
This study proposes an effective method to predict technology development from an evolutionary perspective. Product evolution is the result of technological evolution and market selection. A phylogenetic network is the main method to study product evolution. The formation of the dominant design determines the trajectory of technology development. How to predict future dominant design has become a key issue in technology forecasting and new product development. We define the dominant product and use machine learning methods, combined with product evolutionary theory, to construct a Fully Connected Phylogenetic Network dataset to effectively predict the future dominant design.
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