摘要
引入"学习效应"的思想,构建了一类具有学习效应的有限理性古诺竞争模型,利用非线性动力系统的分支理论研究了该模型均衡点的存在性与稳定性,并进行了对比研究与数值仿真。研究结果表明学习效应对动态古诺竞争复杂性有显著影响:系统稳定域随着企业学习效应的增强而增大;系统到达均衡的速度随着企业学习效应的增强而加快;企业产量调整速度的变化对模型的稳定性有较明显的影响。
By introducing the mind of "learning effects", the Cournot competition model of bound- ed rationality with learning effects was established. By using the theory of bifurcations of dynam- ical systems, the Cournot competition model is investigated, and the existence and stability of the equilibrium point of this model are discussed. Simulation results show that the learning effects of company stronger, the stability area of system larger; the learning effects stronger, the speed of arriving equilibrium point faster, and the speed of quantity adjustment has an obvious impact on the results of model.
出处
《复杂系统与复杂性科学》
EI
CSCD
2011年第4期44-50,共7页
Complex Systems and Complexity Science
基金
南京航空航天大学引进人才科研基金项目(1007-YAH10025)
中国博士后科学基金(2011M500920)
关键词
学习效应
有限理性
离散动力系统
古诺模型
learning effects
bounded rationality
discrete dynamical system
Cournot model