• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

生物系统进化中的混沌、复杂性与计算

Chaos, complexity and computation in the evolution of biological systems.

作者信息

Cottam Ron, Vounckx Roger

机构信息

The Living Systems Project, Dept. of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium.

The Living Systems Project, Dept. of Electronics and Informatics, Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050, Brussels, Belgium.

出版信息

Biosystems. 2022 Jul;217:104671. doi: 10.1016/j.biosystems.2022.104671. Epub 2022 Apr 6.

DOI:10.1016/j.biosystems.2022.104671
PMID:35398202
Abstract

Chaos, complexity and computation are especially important concepts with respect to both the Evolution of biological systems and the evolution of the Universe. We consider each of these five entities separately, and then view their combination in an overall consideration of both evolution and Evolution. The concept of computation can be directly derived from processes characteristic of the Evolution of biology or the evolution of the Universe, rather than presumed from our own mathematical ideas. We advocate the inclusion of meaning in science's deliberations, and support this by insisting that physically embodied abstractions should be considered part concrete in character. Combination of our initial five conceptual entities indicates that biological Evolution follows the same developmental criteria as the evolution of the Universe, albeit with an intermediate change in strategy. We conclude that evolutionarily derived computation is the prime driver of evolution/Evolutions' implications.

摘要

混沌、复杂性和计算在生物系统的进化以及宇宙的演化方面都是特别重要的概念。我们分别考虑这五个实体中的每一个,然后在对进化和演化的整体考量中审视它们的组合。计算的概念可以直接从生物学进化或宇宙演化的特征过程中推导出来,而不是从我们自己的数学观念中假定出来。我们主张在科学的思考中纳入意义,并通过坚持认为物理体现的抽象在性质上应被视为部分具体的来支持这一点。我们最初的五个概念实体的组合表明,生物演化遵循与宇宙演化相同的发展标准,尽管在策略上有一个中间变化。我们得出结论,进化衍生的计算是进化/演化影响的主要驱动力。

相似文献

1
Chaos, complexity and computation in the evolution of biological systems.生物系统进化中的混沌、复杂性与计算
Biosystems. 2022 Jul;217:104671. doi: 10.1016/j.biosystems.2022.104671. Epub 2022 Apr 6.
2
Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).大分子拥挤现象:化学与物理邂逅生物学(瑞士阿斯科纳,2012年6月10日至14日)
Phys Biol. 2013 Aug;10(4):040301. doi: 10.1088/1478-3975/10/4/040301. Epub 2013 Aug 2.
3
Mathematics in biological reality: The emergence of natural computation in living systems.生物学现实中的数学:生命系统中自然计算的出现。
Biosystems. 2021 Jun;204:104395. doi: 10.1016/j.biosystems.2021.104395. Epub 2021 Feb 25.
4
Metaphor and the Philosophical Implications of Embodied Mathematics.隐喻与具身数学的哲学意蕴
Front Psychol. 2020 Nov 2;11:569487. doi: 10.3389/fpsyg.2020.569487. eCollection 2020.
5
Toward a mathematical theory of living systems focusing on developmental biology and evolution: a review and perspectives.朝向一个以发展生物学和进化为重点的生命系统的数学理论:综述与展望。
Phys Life Rev. 2011 Mar;8(1):1-18. doi: 10.1016/j.plrev.2010.12.001. Epub 2010 Dec 31.
6
Chaos and transformation: implications of nonequilibrium theory for social science and society.混沌与变革:非平衡理论对社会科学及社会的影响
Behav Sci. 1987 Jan;32(1):53-65. doi: 10.1002/bs.3830320107.
7
From Molecules to Life: Quantifying the Complexity of Chemical and Biological Systems in the Universe.从分子到生命:量化宇宙中化学和生物系统的复杂性。
J Mol Evol. 2018 Jan;86(1):1-10. doi: 10.1007/s00239-017-9824-6. Epub 2017 Dec 19.
8
A criterion of relative degree of chaos or order for open systems.开放系统混沌或有序相对程度的一个标准。
Biosystems. 1997;42(2-3):85-102. doi: 10.1016/s0303-2647(97)01697-3.
9
Computation in biological systems as a quantum mechanical simulation.生物系统中的计算可作为量子力学模拟。
Biosystems. 2022 Apr;214:104635. doi: 10.1016/j.biosystems.2022.104635. Epub 2022 Feb 5.
10
Feedback theory and Darwinian evolution.
J Theor Biol. 1991 Oct 21;152(4):469-84. doi: 10.1016/s0022-5193(05)80393-5.