1. A system for learning an external learning standard, said system having an internal evaluation standard and a function for evaluating a correspondence between external information and external output, produced from processing the external information according to input information of the internal evaluation standard, and for learning an evaluation standard of an external evaluation by using the external output and the internal evaluation standard, said system comprising: neural network processing means for processing an input pattern based on a desired pattern as input information of the internal evaluation standard, independently of the external evaluation and providing an output pattern; input/output pattern corresponding means for comparing the input pattern with the output pattern, and for outputting a corresponding relation as an input/output pattern; evaluation means for judging whether the input/output pattern is correct by using a reinforcement signal as the external evaluation supplied from outside the system and the input/output pattern from the input/output pattern corresponding means, and for outputting the judged input/output pattern when an evaluation result of the judging is correct; and desired pattern table means for storing the judged input/output pattern whose evaluation result outputted from said evaluation means is correct, and for outputting the judged input/output pattern as an evaluation desired pattern at a learning time of said neural network processing means.