A cerebral model based intelligent control system

Abstract

The control ability of a human operator has several good points and is still needed in several fields. Therefore, to imitate the function of human operator, many theories have been developed, for example, fuzzy theory, neural network theory and so on. This paper tries to understand the control function of human operator from a viewpoint of many scientific fields such as cognitive science, biology and information science and tries to mimic it. Then the authors propose a framework of a cerebral model based intelligent control system (CEMICS)'.<>