Optimal Allocation Problem of Social Capital through a Recursive Learning System and a Multistage Decision Making
Optimal Allocation Problem of Social Capital through a Recursive Learning System and a Multistage Decision Making
批准号:
07680468
负责人:
NAKAI Toru
金额:
$1.28万
依托单位:
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
项目状态:
已结题
起止时间:
1995 至 1996
中文摘要
在1995年的第一年,我们把我们的活动集中在研究分析社会资本的分配问题作为一个序列决策问题。我们还考虑了将递归方法归纳为学习过程的过程。在此基础上,以顺序分配问题为背景,从动态规划的角度进行了研究。研究结果在多个研讨会上进行了展示,并在多篇论文中总结了分析意见。结果发现,动力系统理论对于分析社会资本的分配问题等具有复杂特征和因素的问题是有效的。此外,我们有一个观点,部分可观察的决策过程的优化方法是有用的考虑的作用,学习过程是紧密结合的递归过程顺序allocation problems.In第二年1996,我们做了我们的项目更富有成效地收集了大量的文件应用于我们的研究。我们还研究了与我们的项目相关的一些领域,并取得了分析和技术成果。在本项目的理论贡献方面,我们于1995年和1996年在动态规划的基本理论、库存理论、随机系统的最优策略、时间序列的应用、多媒体环境和网络系统等领域发表了多部著作。此外,关于分析学习过程的必要性,我们发表了一些关于递归系统的随机序关系问题的论文。
英文摘要
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.
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岩本誠一: "多段決定過程:最小型評価系" 「マルチメディア環境と経済学」(児玉,岩本編,九州大学出版会). 205-236 (1996)
Seiichi Iwamoto:“多阶段决策过程:最小评估系统”“多媒体环境与经济学”(Kodama,Iwamoto,编辑,九州大学出版社)205-236(1996)。
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M.Kodama: "Optimal Policy for multistage Probabilistic Inventory Model (in Japanese)" "Multimedia Environments and Economics" (Eds.M.Kodama and S.Iwamoto). 237-260 (1996)
M.Kodama:“多阶段概率库存模型的最优策略(日语)”“多媒体环境和经济学”(Eds.M.Kodama 和 S.Iwamoto)。
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中井達: "An Optimal Selection Problem on a Partially Observable Markov Chain" Lecture Notes in Economics and Mathematical Systems 'Stochastic Modelling in Innovating Manufacturing. 445. 140-154 (1996)
Tatsu Nakai:“部分可观测马尔可夫链上的最优选择问题”经济学和数学系统“创新制造中的随机建模”讲义。445. 140-154 (1996)
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時永祥三,石田泰之: "An Intelligent Digital Signal Processing System for Stock Trends Based Upon Transit Wave Detection by Using Gabor and Knowledge Representation of Waveform" Electronics and Communication in Japan,Part 3. 79. 92-103 (1996)
Shozo Tokinaga、Yasuyuki Ishida:“基于使用 Gabor 和波形知识表示的传输波检测的股票趋势智能数字信号处理系统”《日本电子与通信》,第 3. 79. 92-103 部分 (1996)
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児玉正憲: "Some Probabilistic Inventory.Problems with Various Demand Pattern" Journal of Information & Optimization Sciences. 17. 17-48 (1996)
Masanori Kodama:“一些概率库存。各种需求模式的问题”信息与优化科学杂志 17. 17-48 (1996)。
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