与生命起源相关的催化网络模型中，自复制体出现前的因果架构动力学
Causal Organization Prior to and Promoting Self-Replication in a Catalytic Model of the Origin of Life
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中文总结 AI 辅助
本研究基于GARD催化网络模型，发现自复制体出现前的介质中存在因果涌现，该现象可预测自复制初始出现，且其程度影响自复制体的寿命与丰度，为生命起源研究提供了新视角。
中文摘要 AI 辅助
人们认为，在世界中发挥因果作用的主体是多样复制体间选择的产物；那么在复制体出现、演化发生之前，介质的因果结构是怎样的？我们研究了流行的GARD模型的信息论动力学，该模型捕捉了多个被认为对生命起源至关重要的动力学过程，发现因果涌现可预测自复制的初始出现。此外，提升因果涌现的干预会增加自复制体的寿命，而降低因果涌现的干预会减少这些自复制体的丰度，这表明因果涌现是一个功能性控制旋钮。因此，在演化动力学开始运作前，活跃介质中可检测到整合因果性的逐步提升，这可能对高度多样场景下的生命起源，以及理解地球生物圈中观察到的因果性提升的驱动力量具有重要意义。
英文摘要
Agents that exert causal power in the world are thought to be the product of selection among diverse replicators. Whether organized causal structure can arise before replication and influence its emergence remains unclear. Here we examine this question in the Graded Autocatalysis Replication Domain (GARD), a model of catalytic molecular assemblies capable of compositional self-reproduction. We find that causal emergence - irreducible predictive information generated by the system as a whole - exhibits punctuated dynamics associated with self-replication. Early causal emergence predicts subsequent self-replication more accurately than established measures of molecular dynamics. Moreover, manipulating molecular assemblies to increase causal emergence raises the persistence and abundance of self-replication, whereas the opposite is true for interventions that decrease causal emergence, indicating a functional control knob. These results show that causal organization can precede the appearance of replicators and can influence their subsequent dynamics. They suggest that increases in integrated causality can shape the organization of active media before evolutionary dynamics begin.
发表机构
- Tufts University（塔夫茨大学）
- Allen Discovery Center, Tufts University（塔夫茨大学艾伦发现中心）
- Harvard University（哈佛大学）
- Wyss Institute for Biologically Inspired Engineering, Harvard University（哈佛大学生物启发工程怀斯研究所）
机构由 AI 辅助整理，请以论文原文为准。
