关闭循环:语义关闭如何使开放式进化成为可能?
Amahury Jafet López-Díaz1, Carlos Gershenson1
1School of Systems Science and Industrial Engineering, State University of New York at Binghamton, Binghamton, NY, USA.
Journal of the Royal Society, Interface
|January 15, 2026
概括
这项研究模拟了语义关闭,生命中的自我引用过程,使用计算活动主义. 自我引用是强大的复制和进化的关键,使生命成为可能.
科学领域:
- 理论生物学 理论生物学
- 计算活动主义 (Computational Enactivism) 是一种计算活动主义.
- 生物语义学是生物语义学.
背景情况:
- 生命的定义特征包括自构,预期和适应.
- 语义关闭,一种自我引用机制,对于理解这些属性至关重要.
- 现有的模型缺乏统一的框架,整合了关系生物学,生物语义学和生态心理学.
研究的目的:
- 开发一个计算激活主义框架来建模语义关闭的进化出现.
- 整合关系生物学,物理生物语义学和生态心理学的概念.
- 为自构,预测和适应之间的三方论提供理论基础.
主要方法:
- 通过时间参数化扩展霍夫梅尔的制造和装配系统.
- 从反应网络到自构建化学系统,开发一个逐步的计算模型.
- 应用一个统一的计算激活框架.
主要成果:
- 确定自我引用是强大的自我复制和开放式进化的必要条件.
- 展示了语义关闭的演变,从简单的识别到预测系统.
- 确立了语法-实用转换是实现生活的必要条件.
结论:
- 拟议的模型捕捉了生命的关键性质,包括自构,预测和适应.
- 计算活动主义为理解生物信息处理和代理提供了一个连贯的理论基础.
- 这项工作为以生命动态为灵感的新型计算模型开辟了道路.
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