数学在生物科学中的合理无效性
Seymour Garte1, Perry Marshall2, Stuart Kauffman3
1Department Pharmacology and Toxicology, School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
数学有效地描述了物理科学,但与生物学的复杂性作斗争. 需要新的形式主义来捕捉生命的创造性,进化过程超越计算和严格的数学规律.
科学领域:
- 生物学 生物学 生物学
- 数学 数学 是一个数学.
- 科学哲学的哲学科学哲学
背景情况:
- 物理科学利用数学来确定精确的确定性定律,这个概念被称为"不合理的有效性".
- 生物科学以复杂性和进化为特征,在历史上一直抵制类似的精确数学形式主义.
- 生命的内在创造力和新兴性质对传统的数学建模构成了挑战.
研究的目的:
- 探索当前数学框架在完全描述生物现象方面的局限性.
- 讨论为什么确定性模型和集合理论在捕捉进化和生物复杂性方面不足.
- 倡导新的形式主义,可能包括非方程数学表达式,以更好地代表生物现实.
主要方法:
- 关于数学定律在生物学与物理学中的适用性的概念分析.
- 讨论计算极限和进化过程的性质.
- 检查替代数学方法,如没有严格的数值等价性的近似.
主要成果:
- 数学虽然强大,但对于对生物系统的完整,确定性描述是不够的.
- 集合论和拉普拉斯模型未能涵盖生物圈的创造性和进化动态.
- 生物学的复杂性表明它可能超越当前的计算和数学形式主义.
结论:
- 数学在生物学中的"无效性"凸显了它独特的性质,与物理科学不同.
- 需要新的科学形式来充分描述生物现实,可能超越传统数学.
- 大自然的创造力超越了数学形式主义,邀请科学研究的扩展.
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