生物系统中的代理,目标导向行为和部分整体关系
1Institute for Life Sciences/Electronics and Computer Science, University of Southampton, Southampton, UK.
Biological theory
|March 11, 2024
概括
本研究引入了生物代理的可量化的概念,展示了系统如何表现出超出其部分总和的目标导向行为和解决问题的能力. 这种观点适用于各种生物尺度,从细胞到生物.
科学领域:
- 系统生物学 系统生物学
- 理论生物学 理论生物学
- 生物物理学的生物物理.
背景情况:
- 描述生物系统中的代理和目标导向行为是复杂的.
- 现有的框架往往难以在不同的生物尺度上量化新出现的特性.
- 了解系统部分和整体之间的关系对于定义生物代理至关重要.
研究的目的:
- 为生物系统提供一个最小的,具体的代理和目标导向行为的概念.
- 探讨系统代理如何可以量化,并表现为比其部分的总和更多.
- 为分析细胞,生物和其他生物尺度中的代理提供框架.
主要方法:
- 整合来自动态系统,组合式问题解决和连接式学习的概念.
- 量化系统解决问题的能力,解决各部分之间的内部"挫折".
- 通过延迟满足和长期收益优化来定义目标导向的行为.
主要成果:
- 开发了一个可量化的视角,适用于各种生物尺度的代理.
- 展示了系统层面的机构如何从各个部分的组织和相互作用中出现.
- 展示了获得的,分布的系统知识如何在没有明确的系统级奖励函数的情况下为代理做出贡献.
结论:
- 拟议的框架提供了一种具体的,可量化的对生物代理的方法.
- 生物系统中的新兴代理可以通过解决问题的能力和延迟满足来理解.
- 这种观点将系统级代理与依赖单个部分组织的依赖相协调.
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