Wide Range Application of Status Evaluation Function

本研究的主要和最终目标是通过学习自动构建评价者，将学习状态评价、概念形成和高效评价者的创建整合起来。主要研究结果如下：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。这种构造的关键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。构建过程加快了10万倍，实现了多次评估迭代。通过对状态评估的大量数据进行分析，得到了精确的评估函数。概念的形成和结构分析伽罗瓦格的结构是基于在简单分段状态集合中定义的偏序来作为概念框架进行研究的。在本研究中，还研究了在现实世界中经常发现的半结构化数据。用解析的方法可以从这种“非有序结构”中提取出“概要结构”。反思与方面在本研究的目标系统中，采用反思的方法编写了大量的状态评估软件代理。期望这些代理在参考概念数据库的实际评估中表现最佳。本文研究了面向方面编程的类间功能增量框架。一些结果支持。给出了面向方面编程的系统和理论框架。

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.