Abstract: CLARION is a computational cognitive model different from other ones. It aims at studying the data of researches about the interaction between implicit and explicit skill learning. By simulating of those classic experiments with human subject in implicit learning, such as SRT, DC, and other high-order cognitive task, CLARION demonstrated its better fit to human data. CLARION has its advantages at least in two aspect, one is its integration of implicit and explicit processing, and the other is its emphasizing on the importance of bottom-up processing. It has developed much during recent years, and this paper just made a brief review of its development and its main point

Key words: implicit learning, explicit learning, skill learning, computational cognitive model, CLARION