Wide Range Application of Status Evaluation Function

本研究的主要目的是借由学习自动建构评估者，整合学习状态评估、概念形成，以及产生有效的评估者。主要研究结果如下：1.评价函数的自动构造评价函数的构造不需要人工准备，仅从目标领域的基本规则和框架出发。这种构造的基本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。构建过程的速度提高了100，000倍，从而可以进行多次迭代评估。通过对大量状态评估数据的分析，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，基于一组简单的分段状态之间定义的偏序，作为一个框架的概念进行了研究。在这项研究中，半结构化数据，经常发现在真实的世界，也进行了研究。通过分析方法可以从这种“非良序结构”中提取出“概要结构”.在本研究的目标体系中，大量的状态评估软件代理都是采用反射的方法来实现的。期望这些代理在涉及概念数据库的真实的评价中最佳地起作用。在本研究中，面向方面程序设计的框架，研究了类间函数增量。一些结果支持。给出了面向方面程序设计的系统和理论框架。

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.