Dominant Design Prediction with Phylogenetic Networks
Computational Engineering, Finance, and Science
2024-07-16 v1 Artificial Intelligence
Neural and Evolutionary Computing
Social and Information Networks
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.
Keywords
Cite
@article{arxiv.2407.10206,
title = {Dominant Design Prediction with Phylogenetic Networks},
author = {Youwei He and Jeong-Dong Lee and Dawoon Jeong and Sungjun Choi and Jiyong Kim},
journal= {arXiv preprint arXiv:2407.10206},
year = {2024}
}