GCM中的四种边界结构(“垃圾桶模型”的小补充:重构与逻辑分析)

I. Smarzhevskiy
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引用次数: 1

摘要

为了使集体决策系统有效运行,用垃圾桶模型描述(Cohen M., March J., Olsen J., 1972)。一个组织选择的垃圾桶模型),访问问题的结构和管理者的选择是至关重要的。对系统的逻辑进行了研究,并开发了一种方案,允许任意偶数N得到已解决问题数量和决策类型的概率分布。对于任意维的决策系统和三种类型的结构:1)专门化访问结构与专门化决策结构2)专门化访问结构与专门化决策结构3)专门化访问结构与非专门化决策结构,在不同类型的能量负荷下,解析求解:设置可解决的最大问题数,并得到结果的概率分布。比较组织结构的四种边界选择的系统有效性:先前研究的一种,以及本文讨论的三种。结果在系统维度上的概率分布的例子是10,这是许多研究的主题,重构了原始模型代码并验证了结果。决策系统最有效工作的组织结构类型的问题对应复杂性。这项工作是先前发表的工作文件“垃圾桶模型:重建和逻辑分析”(http://ssrn.com/abstract=2490388)的延续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four Border Structures in GCM (Small Addition to the 'Garbage Can Model: Reconstruction and Logical Analysis')
For efficient operation of the collective decision making system, described by garbage can model (Cohen M., March J., Olsen J., 1972. A Garbage Can Model of Organizational Choice), the structure of the access problems and managers to the choices is crucial. The logic of the system is studied and developed a scheme that allows for arbitrary even N to get the probability distribution of the number of resolved problems and the types of decisions. For the case of arbitrary dimension of decision-making system and the three types of structures: 1) specialized access structure with specialized decision structure 2) unsegmented access structure with specialized decision structure 3) specialized access structure with unsegmented decision structure, in different types of energy load, an analytical solution: set the maximum number of problems that can be solved and obtained the probability distribution of outcomes.A comparison of the effectiveness of the system for four border options for the organizational structure: the one previously studied, and the three discussed in the article. The examples of the probability distribution of outcomes in the system dimension is ten, which is the subject of a number of studies that reconstruct the original model code and verified the results. The correspondence complexity of problems types of organizational structure, in which the decision-making system works most effectively.The work is a continuation of the previously published working paper “Garbage Can Model: Reconstruction and Logical Analysis” (http://ssrn.com/abstract=2490388).
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