ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

心理科学进展 ›› 2006, Vol. 14 ›› Issue (6): 844-850.

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CLARION模型：内隐与外显技能学习的整合

杜建政;李明   

  1. 河南大学教育科学学院，开封 475001
  • 收稿日期:2006-09-20 修回日期:1900-01-01 出版日期:2006-11-15 发布日期:2006-11-15
  • 通讯作者: 杜建政

CLARION: A Integrated Model in Studying the Relationship between Implicit and Explicit Skill Learning

Du Jianzheng;Li Ming   

  1. Education Science College, Henan University, Kaifeng 475001, China
  • Received:2006-09-20 Revised:1900-01-01 Online:2006-11-15 Published:2006-11-15
  • Contact: Du Jianzheng

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摘要： CLARION是一个与其它认知理论明显不同的计算认知模型，它可用来研究内隐和外显学习交互作用的各种定量数据。通过对经典内隐学习任务（如系列反应时任务、加工控制任务及其他高级认知加工任务）的模拟实验，在与人类实验数据的拟合上，CLARION展示出比以往认知模型更好的性能。它主要有两个特征：一是对内隐学习和外显学习的整合，二是对自下而上加工的强调。近几年，CLARION模型在理论和实践上都有较大进展。文章简要评述了CLARION模型，并围绕此模型介绍了学界有关内隐和外显加工交互作用的探索

关键词: 内隐学习, 外显学习, 技能学习, 计算认知模型, CLARION

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

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