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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.10206 |
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| _version_ | 1866909254367051776 |
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| author | He, Youwei Lee, Jeong-Dong Jeong, Dawoon Choi, Sungjun Kim, Jiyong |
| author_facet | He, Youwei Lee, Jeong-Dong Jeong, Dawoon Choi, Sungjun Kim, Jiyong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10206 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dominant Design Prediction with Phylogenetic Networks He, Youwei Lee, Jeong-Dong Jeong, Dawoon Choi, Sungjun Kim, Jiyong Computational Engineering, Finance, and Science Artificial Intelligence Neural and Evolutionary Computing Social and Information Networks 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. |
| title | Dominant Design Prediction with Phylogenetic Networks |
| topic | Computational Engineering, Finance, and Science Artificial Intelligence Neural and Evolutionary Computing Social and Information Networks |
| url | https://arxiv.org/abs/2407.10206 |