集体智能:一种统一的概念,用于跨尺度和基板整合生物学
Patrick McMillen1,2, Michael Levin3,4,5
1Department of Biology, Tufts University, Medford, MA, 02155, USA.
Communications biology
|March 29, 2024
概括
生物学使用多层次组织来解决跨层次的问题. 集体动力学使细胞,组织和生物体的合作和集体智能成为可能,反映群体行为.
科学领域:
- 多尺度生物学 多尺度生物学
- 集体动态的集体动态
- 系统生物学 系统生物学
背景情况:
- 生物系统表现出从分子到群体的等级结构.
- 功能在多个层面上组织起来,包括生理,形态和行为状态.
- 适应能力是通过集体动力学出现的,在集体动力学中,组件为了特定的结果而合作.
研究的目的:
- 突出不同尺度合作和集体智能的生物实例.
- 探索集体智能不仅限于动物群体的假设.
- 确定群体行为和细胞/生物系统能力之间的对称性.
主要方法:
- 在各种尺度 (细胞,组织,生物体) 上对生物实例的概述.
- 分析生物系统中的集体动态和决策.
- 对群体智能和细胞集体智能的比较研究.
主要成果:
- 细胞材料证明了对同源动力学终点的合作决策.
- 集体智能可以在细胞,组织和整个生物体层面观察到.
- 群体行为和生物系统的能力之间存在显著的对称性.
结论:
- 集体智能是跨越生物尺度运行的基本原则.
- 了解生物系统中的集体动力学,为再生医学和合成生物工程提供了洞察力.
- 对多样性智能的研究可以用来推进生物工程和医学.
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