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Cited by 474

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

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

Open access
SUN, R, MERRILL, E, PETERSON, T·2001·Cognitive Science

Abstract

Abstract 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.

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Crossref · 10.1016/s0364-0213(01)00035-0

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Metadata

Authors
SUN, R., MERRILL, E., & PETERSON, T.
Venue
Cognitive Science
Publisher
Wiley
Published
2001-04
Volume
25
Issue
2
Pages
203-244
ISSN
0364-0213 (ISSN-L)
OpenAlex
W2160395727
Cited by
474
References
110
FWCI
15.77
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: From implicit skills to explicit knowledge: a bottom-up model of skill learning. https://app.cochat.ai/papers/10.1016/s0364-0213(01)00035-0
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SUN, R., MERRILL, E., & PETERSON, T. (2001). From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cognitive Science. https://doi.org/10.1016/s0364-0213(01)00035-0

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.