Wide Range Application of Status Evaluation Function

状态评估功能的广泛应用

• 批准号: 17500086
• 负责人: KAWAI Satoru
• 金额: $ 2.24万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2005
• 资助国家: 日本
• 起止时间: 2005 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-17500086/
• 关键词: evaluation functions; dynamic evaluator; knowledge acquisition; state transition rules; Galois lattice; reflective calculation; non-wellfounded set; aspect; 機械学習; モデル化

The main and final target of this research is the automatic construction of evaluators by learning, integrating state evaluation by learning, concept formation, and creation of efficient evaluators. Main results of the component researches follow.1. Automatic construction of evaluation functionsThe evaluation functions are constructed, without human preparation, only from the basic rules and framework of the target field. The essential part of this construction is the automatic creation of simple data sets for state evaluation, followed by the selection based on the appropriateness of the data. Construction process is speed-up by the factor of 100,000, enabling many iteration of evaluation. Precise evaluation functions are obtained by the analysis of bulk data for states evaluation.2. Concept formation and structure analysisThe structure of Galois lattices, based on a partial order defined among the set of simple piecewise statuses, is studied as a framework of concepts. In this research, semistructured data, frequently found in the real world, is also studied. The "summary structure" can be extracted from such "non-well ordered structure" by an analytical method.3. Reflection and aspectsIn the target system of this research, a lot of software agents for state evaluation are to be prepared by the method of reflection. These agents are expected to act optimally in the real evaluation referring the concept database. In this research, the framework of aspect oriented programming is studied for interclass function increments. Some results in support. systems and theoretical framework in aspect oriented programming are obtained.

本研究的主要和最终目标是通过学习自动构建评估器，整合学习状态评估、概念形成和高效评估器的创建。主要研究成果如下： 1．评价函数的自动构建评价函数的构建无需人工准备，仅从目标领域的基本规则和框架出发。这种构建的本质部分是自动创建用于状态评估的简单数据集，然后根据数据的适当性进行选择。构建过程加速了 100,000 倍，可以进行多次评估迭代。通过对大量状态评价数据的分析，得到精确的评价函数。 2．概念形成和结构分析伽罗瓦格的结构基于在简单分段状态集合中定义的偏序，被作为概念框架进行研究。在这项研究中，还研究了现实世界中常见的半结构化数据。通过分析方法可以从这种“非良序结构”中提取出“概要结构”。 3．反思与方面 在本研究的目标系统中，很多状态评估的软件代理都是通过反思的方法来编写的。这些代理预计在参考概念数据库的实际评估中表现最佳。在本研究中，针对类间函数增量，研究了面向方面编程的框架。一些结果得到了支持。获得了面向方面编程的系统和理论框架。

项目成果

Linear Multilayer ICA Generating Hierarchical Edge Detectors

• DOI: 10.1162/neco.2007.19.1.218
• 发表时间: 2007
• 期刊: Neural Computation
• 影响因子: 2.9
• 作者: Yoshitatsu Matsuda;K. Yamaguchi

新規節点で深さ優先探索を利用するdf-pnアルゴリズム

使用深度优先搜索新节点的 df-pn 算法

• 发表时间: 2005
• 期刊: 第10回ゲーム・プログラミングワークショップ
• 作者: Yamaguchi;T.;Koji;M.;Shiba;H.;Shimamura;K.;櫻井 孝平;金子知適
• 通讯作者: 金子知適

A Parameterized Interpreter for Modeling Different AOP Mechanisms

用于建模不同 AOP 机制的参数化解释器

• 发表时间: 2005
• 期刊: 2005 IEEE/ACM International Conference on Automated Software Engineering
• 作者: Ubayashi;N.
• 通讯作者: N.

連想アスペクトによるアプリケーション連携の記述改善評価

使用关联方面评估应用程序链接描述改进

• 发表时间: 2005
• 期刊: コンピュータソフトウェア 22・3
• 作者: Yamaguchi;T.;Koji;M.;Shiba;H.;Shimamura;K.;櫻井 孝平
• 通讯作者: 櫻井 孝平

An Efficient MDS Algorithm for the Analysis of Massive Document Collections

• DOI: 10.1007/11552451_140
• 发表时间: 2005-09
• 作者: Yoshitatsu Matsuda;K. Yamaguchi