Dominant Design Prediction with Phylogenetic Networks

July 14, 2024 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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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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