摘要翻译:
冈萨雷斯-埃斯特韦斯等人最近研究的一维确定性经济模型。[Physica A 387,4367(2008)]研究了具有周期边界条件的二维正方形晶格。在该模型中,每个智能体的演化由一个与其最近邻耦合的映射来描述。map有两个因素:一个是说明智能体自身增长趋势的线性项,另一个是通过环境控制效应使增长饱和的指数项。对于von Neumann和Moore邻域,计算了系统在参数空间中显示Pareto和Boltzmann-Gibbs统计量的区域。研究发现,即使系统中的参数保持不变,当每个主体的邻居数增加时,也会发生从Pareto行为到Boltzmann-Gibbs行为的转变。
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英文标题:
《Transition from Pareto to Boltzmann-Gibbs behavior in a deterministic
economic model》
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作者:
J. Gonzalez-Estevez, M. G. Cosenza, O. Alvarez-Llamoza and R.
Lopez-Ruiz
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最新提交年份:
2008
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分类信息:
一级分类:Quantitative Finance 数量金融学
二级分类:General Finance 一般财务
分类描述:Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类:Physics 物理学
二级分类:Statistical Mechanics 统计力学
分类描述:Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变,热力学,场论,非平衡现象,重整化群和标度,可积模型,湍流
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一级分类:Physics 物理学
二级分类:Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述:Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应,自组织系统,统计物理,波动系统,随机过程,相互作用粒子系统,
机器学习
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一级分类:Physics 物理学
二级分类:Physics and Society 物理学与社会
分类描述:Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体(人类或其他)的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统(如能源网、运输网络)的物理和工程。
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英文摘要:
The one-dimensional deterministic economic model recently studied by Gonzalez-Estevez et al. [Physica A 387, 4367 (2008)] is considered on a two-dimensional square lattice with periodic boundary conditions. In this model, the evolution of each agent is described by a map coupled with its nearest neighbors. The map has two factors: a linear term that accounts for the agent's own tendency to grow and an exponential term that saturates this growth through the control effect of the environment. The regions in the parameter space where the system displays Pareto and Boltzmann-Gibbs statistics are calculated for the cases of von Neumann and of Moore's neighborhoods. It is found that, even when the parameters in the system are kept fixed, a transition from Pareto to Boltzmann-Gibbs behavior can occur when the number of neighbors of each agent increases.
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PDF链接:
https://arxiv.org/pdf/0811.1064