用反应网络建模自构和认知
Francis Heylighen1, Evo Busseniers1
1Center Leo Apostel, Vrije Universiteit Brussel, Belgium.
Bio Systems
|June 5, 2023
概括
自动构造系统是自我维护的网络,可以模拟生命的起源. 弹性需要认知,使这些系统能够预测环境变化并适应,尽管它们的内部模型是主观的,而不是客观的现实.
科学领域:
- 系统生物学 系统生物学
- 理论化学是一种理论化学.
- 生命起源的研究研究生命的起源.
背景情况:
- 马图拉纳和瓦雷拉将自构系统定义为自我再生网络.
- 自动构造是理解生物系统及其自我维护的基础.
- 以前的模型往往缺乏基于过程的正式框架.
研究的目的:
- 用过程本体学重新解释和阐述自构的概念.
- 模拟自构组织作为自我维持的反应网络.
- 探索自杀,自我组织和认知之间的关系.
主要方法:
- 使用反应网络和化学组织理论的正式化.
- 建模自构组织作为运营上封闭和自我维护的网络.
- 应用"良好的调节定理"来理解系统的弹性和认知.
主要成果:
- 自构组织被认为是动态系统中的吸引力,促进自我组织并建模生命的起源.
- 在可变环境中的弹性需要对干扰补偿的认知.
- 通过发现模式来增强认知,从而导致环境的预测模型.
结论:
- 自体构造系统为生命的起源和生存提供了一个强大的模型.
- 认知对于自构系统的弹性至关重要,由环境相互作用驱动.
- 自我构造系统产生的内部模型是主观的构造,而不是对现实的客观表现.
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