HYPERCYCLE - PRINCIPLE OF NATURAL SELF-ORGANIZATION .B. ABSTRACT HYPERCYCLE
HYPERCYCLE - PRINCIPLE OF NATURAL SELF-ORGANIZATION .B. ABSTRACT HYPERCYCLE
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DOI：
10.1007/bf00420631
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发表时间：
1978-01-01
影响因子：
--
通讯作者：
SCHUSTER, P
中科院分区：
文献类型：
--
作者：
EIGEN, M;SCHUSTER, P
拓扑方法被用来表征一类特殊的自复制反应网络：超环。超环的性质显然足以稳定地整合包含在几个自复制单元中的信息。在所研究的催化网络中，超环组织是维持信息稳定性和促进信息进一步演化的必要前提。详细介绍了所使用的技术，使非数学家也能理解逻辑论证。
Topologic methods are used to characterize a particular class of self-replicative reaction networks: the hypercycles. The properties of hypercycles apparently are sufficient for a stable integration of the information contained in several self-replicative units. Among the catalytic networks studied, hypercyclic organization is a necessary prerequisite for maintaining the stability of information and for promoting its further evolution. The techniques used are introduced in detail to make the logical arguments accessible to the nonmathematician.