Optimal Allocation Problem of Social Capital through a Recursive Learning System and a Multistage Decision Making

通过递归学习系统和多级决策的社会资本优化配置问题

基本信息

批准号：
07680468
负责人：
NAKAI Toru
金额：
$ 1.28万
依托单位：
KYUSHU UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1995
资助国家：
日本
起止时间：
1995 至 1996
项目状态：
已结题

项目摘要

In the first year 1995 of our project, we focused our activity to the study to analyze allocation problems of the social capital as a sequential decision problem. We also considered processes to induce a recursive method as a learning procedure. Furthermore, in the context of the sequential allocation problem, we made a research from the point of the dynamic programming. The results were presented in several workshops, and the analytical comments were summarized in some papers.As a result, it was found that the theory of the dynamical system is effective to analyze these problems having complex features and factors such as an allocation problem of the social capital. Moreover, we have a perspective that the optimization methods for a partially observable decision process are useful to consider a role of a learning procedure which is tightly combined with recursive processes for sequential allocation problems.In the second year 1996, we made our project more fruitfully by collecting an amount of documents applied to our studies. We also studied about some fields related to our project, and obtained analytical and technical results. In terms of the theoretical contribution of out project, we published several works in 1995 and 1996 in the fields of the basic theory of the dynamic programming, the inventory theory, the optimal policy for stochastic systems, applications of time series, multimedia environment and the networking system. Furthermore, in relation to the necessity to analyze a learning procedure, we published some papers on the problem for stochastic order relations for a recursive system.

在我们项目的1995年第一年，我们将活动集中在研究上，以分析社会资本的分配问题，作为一个顺序的决策问题。我们还考虑了诱导递归方法作为学习程序的过程。此外，在顺序分配问题的背景下，我们从动态编程的角度进行了研究。结果在几个研讨会中介绍，并在某些论文中总结了分析评论。结果，发现动态系统的理论有效地分析具有复杂特征和因素（例如分配问题）的这些问题社会资本。此外，我们有一个观点，即部分可观察到的决策过程的优化方法可用于考虑学习过程的作用，该过程与顺序分配问题的递归过程紧密结合。通过收集大量适用于我们的研究的文件。我们还研究了与我们项目相关的一些领域，并获得了分析和技术结果。在OUT项目的理论贡献方面，我们在1995年和1996年发表了几项在动态编程基础理论，库存理论，随机系统的最佳政策，时间序列的应用，多媒体环境和多媒体环境和多媒体环境的应用，以及网络系统。此外，关于分析学习程序的必要性，我们发表了一些有关递归系统随机订单关系问题的论文。