Automatic Construction of State Evaluation Functions and its Dynamic Evaluator

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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.