A proposal of learning system with fuzzy rules under large environments

We show the problem and solution for intelligent systems under large environments. Intelligent systems, which are made from system of if-then rules, must support all cases for drive/control on any large environment. To get the specific professional intelligence, some studies of intelligent systems continue to try a learning system as the machine learning. Most learning systems use supervised learning. The supervised learning is accomplished by presenting training examples to a learning unit. In this paper, we will talk about unsupervised learning for dynamic and large environments. We tried chess as the dynamic and large environment and made chess's algorithm as an intelligent system with unsupervised learning.