From implicit skills to explicit knowledge: a bottom-up model of skill learning

被引:114
作者
Sun, R [1 ]
Merrill, E
Peterson, T
机构
[1] Univ Missouri, CECS Dept, Columbia, MO 65211 USA
[2] Univ Alabama, Tuscaloosa, AL 35487 USA
关键词
D O I
10.1207/s15516709cog2502_2
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This paper presents a skill learning model CLARION. Different from existing models of mostly high-level skill learning that use a top-down approach (that is, turning declarative knowledge into procedural knowledge through practice), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. Our model is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line reactive learning. It adopts a two-level dual-representation framework (Sun, 1995), with a combination of localist and distributed representation. We compare the model with human data in a minefield navigation task, demonstrating some match between the model and human data in several respects. (C) 2001 Cognitive Science Society, Inc. All rights reserved.
引用
收藏
页码:203 / 244
页数:42
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