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不完全竞争系统的随机演化模型 被引量:3

A Random Evolution Model of Incomplete Competitive System
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摘要 基于复杂系统结构分析的方法,构建随机竞争的系统演化模型,揭示随机竞争机制对系统的结构、性质和演化规律的决定性作用。数学解析与模拟结果都表明:此类系统的规模与演化对系统退出阈值和环境资源所决定的系统竞争水平极其敏感;微观个体的竞争力、寿命、对手数量等指标依赖于其初始竞争力,且呈指数或幂律的不同下降或增长趋势;而系统宏观指标的状态分布却呈现出时间无关性和稳定的结构特征。 Based on the study of complex systems using structural analysis methods,this paper builds a model of random evolution of competitive systems in order to reveal the random competitive environment of the system structure,nature and evolution.Analysis and simulation results show:(1) that the size and evolution of such a system are extremely sensitive to the threshold values of system withdrawal and the level of system competition determined by environmental resources;(2) that micro-individual competitiveness,life expectancy,the number of other indicators opponent's competitiveness depends on its initial competiveness, with different trends of exponential or power-law decline or growth;(3) that state distribution of macro-indicators of the system is characterized by time independence and structural stability.
出处 《系统工程》 CSSCI CSCD 北大核心 2010年第6期117-121,共5页 Systems Engineering
基金 国家自然科学基金资助项目(90410015) 国家自然科学基金专项基金资助项目(70841009) 南京工程学院引进人才科研启动基金资助项目(KXJ08014)
关键词 竞争系统 随机演化 竞争机制 系统结构 统计性质 Competitive System Random Evolution Competitive Mechanism System Structure Statistical Property
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参考文献12

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共引文献33

同被引文献28

  • 1闫丽梅,金鸿章,付光杰,张立伟,荣盘祥.复杂系统崩溃机理初探[J].大庆石油学院学报,2004,28(5):68-70. 被引量:13
  • 2李琦,金鸿章,林德明.复杂系统的脆性模型及分析方法[J].系统工程,2005,23(1):9-12. 被引量:52
  • 3孔东民.Lotka-Volterra系统下市场结构的演进[J].管理工程学报,2005,19(3):77-81. 被引量:33
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  • 5Luis C. Neves, Dan M. Frangopol. Condition, safety and cost profiles for deteriorating structures with emphasis on bridges[J]. Reliability engineering and system safety,2005 ,89(2) :185 - 198.
  • 6Andre Kleyner, VitaliVolovoi. Application of Petri nets to reliability prediction of occupant safety systems with partial detection and repair[ J]. Reliability Engineering and System Safety, 2010,95 (6) : 606 - 613.
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  • 10Clark J M. Competition as a dynamic process[M]. Washington, D. C : The Brookings Institution, 1961.

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