在仿生学研究中被忽视的灵感来源
Jindong Zhang1,2, Simon Baeckens3,4, Raoul Van Damme3
1Working Group Biomimetics, Faculty of Applied Informatics, Technology Campus Freyung, Deggendorf Institute of Technology, Freyung, Germany. jindong.zhang@th-deg.de.
Scientific reports
|July 15, 2025
概括
仿生学研究严重依赖于有限的动物物种,阻碍了创新. 整合多种类型和在物种层面指定模型可以解锁进化见解,并推进仿生设计.
科学领域:
- 仿生学和生物多样性研究
- 进化生物学 进化生物学
- 科学文献分析 科学文献分析
背景情况:
- 仿生学利用生物生物体进行技术创新.
- 目前的仿生学研究只探索地球生物多样性的很小一部分.
- 了解所使用的生物模型的范围对于评估创新潜力至关重要.
研究的目的:
- 分析生物模拟研究中的生物模型的分类学分布.
- 确定生物模型选择中的趋势和局限性.
- 提出提高仿生学多样性和创新的战略.
主要方法:
- 使用GPT-4o进行科学出版物的大规模分析.
- 分析了74,359个出版物,确定了31,776个生物模型.
- 检查了识别模型的分类学分辨率和分布模式.
主要成果:
- 生物仿真研究表明,它严重依赖于一组狭窄的动物类别.
- 在物种层面 (1604种) 识别的模型不到23%.
- 广泛的分类学分类被引用的频率高于特定物种.
- 探索新的模型种群并没有跟上仿生学的发展步伐.
- 研究人员通常每项研究都专注于单一的模型.
结论:
- 倡导与生物学家加强合作,以纳入未充分利用的种群.
- 建议在物种层面指定生物灵感,以获得更深入的进化见解.
- 建议每项研究纳入多个模型,以实现比较方法和促进创新.
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