Abstract: Based on a model of network encoding and dynamics called the artificial genome，a variable-size segmental duplication and divergence model is proposed for evolving genetic regulatory networks.Using analytic and simulation techniques，this class of networks has higher probability to operate in the ordered regime，and lower probability to operate in the chaotic regime.The results show that the dynamical properties of these networks are similar to that of natural networks.

Key words: genetic regulatory networks, segmental duplication and divergence, attractor, largest Lyapunov exponent

摘要： 基于编码网络和动态特性的人工基因组模型，提出了一种可变长度的基因片段复制与歧化模型进化基因调控网络。应用分析和模拟技术，发现这类进化基因调控网络以更大的概率运转在有序状态，以更小的概率运转在混沌状态。结果表明，进化网络与生物网络有相近的动力学特性。

关键词: 基因调控网络, 基因片段复制与歧化, 吸引子, 最大Lyapunov指数