基于生物剂的模拟代孕模型的进展:趋势,挑战和未来前景
Kerri-Ann Norton1, Daniel Bergman2,3,4,5, Harsh Vardhan Jain6,7
1Computational Sciences Program, Bard College, 30 Campus Road, Annandale-on-Hudson, NY, 12504, USA. knorton@bard.edu.
Journal of mathematical biology
|December 3, 2025
概括
基于代理的建模 (ABM) 使用复杂系统的计算方法. 替代模型提供了对这些生物和生物医学模型的高效分析,克服了计算限制.
科学领域:
- 计算生物学 计算生物学
- 生物医学信息学 生物医学信息学
- 复杂系统建模 复杂系统建模
背景情况:
- 基于代理的建模 (ABM) 对于理解复杂的生物和生物医学系统至关重要.
- 高计算要求和维度的诅咒限制了ABM的广泛应用.
- 在ABM中参数探索和不确定性分析往往是计算上不可避免的.
研究的目的:
- 审查分析基于代理物的模型 (ABM) 的传统方法和代理辅助方法.
- 综合了生物和生物医学应用中代孕辅助方法的最新进展.
- 确定代理辅助ABM的挑战和未来研究方向.
主要方法:
- 检查ABM分析的传统计算方法.
- 基于统计,机械和机器学习的替代模型技术的综合.
- 强调混合策略,将机械洞察与机器学习相结合.
主要成果:
- 替代模型为ABM分析提供了计算效率高的途径.
- 新兴的混合方法在代理辅助ABM中平衡解释性和可扩展性.
- 当前的挑战包括方法论的严谨性和标准化.
结论:
- 代理辅助ABM为复杂系统研究中的计算局限性提供了一个有希望的解决方案.
- 需要进一步开发标准化基准来提高严谨性和采用性.
- 未来的研究应该专注于将机械学理解与先进的机器学习相结合,以获得更广泛的应用.
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