论文标题
组成对自催化集的动力学的影响
Impact of composition on the dynamics of autocatalytic sets
论文作者
论文摘要
自催化集是通过基本食物来源的化学反应互相催化对方生产的实体集。最近，反射自催化和食物产生的理论引入了对自催化集的形式定义，该定义在生命起源的背景下为有希望的结果提供了。但是，自催化集的结构与不同长期行为的可能性之间的联系尚不清楚。在这项工作中，我们研究自催化集之间的不同相互作用如何影响新兴动态。为此，我们开发了一个模型，在该模型中，通过网络之间的组成操作来呈现相互作用，并且通过随机模拟来重现网络的动力学。我们发现自催化集的动态出现取决于所采用的组成操作。特别是，涉及自化催化集来源的实体的操作可以促进不同的自催化子集的形成，从而打开各种长期行为的大门。
Autocatalytic sets are sets of entities that mutually catalyse each other's production through chemical reactions from a basic food source. Recently, the reflexively autocatalytic and food generated theory has introduced a formal definition of autocatalytic sets which has provided promising results in the context of the origin of life. However, the link between the structure of autocatalytic sets and the possibility of different long-term behaviours is still unclear. In this work, we study how different interactions among autocatalytic sets affect the emergent dynamics. To this aim, we develop a model in which interactions are presented through composition operations among networks, and the dynamics of the networks is reproduced via stochastic simulations. We find that the dynamical emergence of the autocatalytic sets depends on the adopted composition operations. In particular, operations involving entities that are sources for autocatalytic sets can promote the formation of different autocatalytic subsets, opening the door to various long-term behaviours.
