Automatic Construction of State Evaluation Functions and its Dynamic Evaluator

本研究的主要目标是对三个组成部分进行系统性处理;通过学习、概念形成和有效评估器的自动构造进行状态评估。在研究的第一年，一套评估元素（特征）及其合理的计算效率是成功地构建的。对特征的大量分析、有用概念的提取以及对生成现实性评估器的研究都在接下来的（也是最后的）年份中进行了分析。以下主要结果.....。高级研究，对评价函数的评价在评价函数的自动构造领域中，以及在这些函数的自动生成和处理中的两种快速生成的大型函数和有效处理是不可避免的，在生成和处理中的理论清晰度之间。我们为这些主题展示了一些满意度的结果，包括评估网络和几何模式的使用。在半导体数据领域中的框架的准备工作被携带出用于评估特征的结构的结构。对概念的自动分类的某些数学方法进行了调查。一个过程的代数，其中允许一个相似事件的概念被提出，并具有一个明确的数学声音。构建一个可运行的评价器，每个评价器对应于要实现的评价特性，在我们的研究中，Java语言通过在字节代码程序级别中使用专门化。对这一实现进行了调查的一些反思性方法。我们的研究结果相信显示了在该领域的实际问题的适用性，例如，货币市场和数据挖掘，但不限制我们使用的练习示例。

The main target of this research is a systematic treatment of the three components; state evaluation by learning, concept formation, and the automatic construction of efficient evaluators. In the first year of the research, a set of evaluation elements (features) with reasonable calculation efficiency is successfully constructed. A thorough analysis of the features, extraction of useful concepts, and a research of making realistic evaluators are performed in the following (and the final) year. Main results follow.・・Advanced research with respect to evaluation functionsIn the field of the automatic construction of evaluation functions, both rapid generation of large sets of functions and efficient processing of these functions are inevitable, beside the theoretical clearness of generation and processing. We show some satisfactory results for these topics with the use of evaluation networks and geometrical patterns.・・Preparatory works for the framework of concept formationWorks in the field of semistructure data is carried out for the structuring of evaluation features. Some mathematical methods of automatic categorization of concepts are investigated. A process algebra which allows the concept of simultaneous events is proposed, with a clear mathematical soundness.・・Construction of runnable evaluatorEach evaluator corresponding to evaluation features are to be implemented, in our research, in Java language by the use of specialization in the level of byte code programs. Some reflective methods for this implementation are investigated.The results of our research are believed to show the applicability to practical problems in the fields of, for example, money market and data mining, not restricted to 2-players games which we used as a workout example.