A bottom-up model of skill learning
Abstract |
We present a skill learning model CLARION. Different from existing models of high-level skill learning that use a topdown approach (that is, turning declarative knowledge into procedural knowledge), we adopt a bottom-up approach toward low-level skill learning, where procedural knowledge develops first and declarative knowledge develops later. CLAR- ION is formed by integrating connectionist, reinforcement, and symbolic learning methods to perform on-line learning. We compare the model with human data in a minefield navigation task. A match between the model and human data is found in several respects.
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Citations of this work BETA
The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.Ron Sun - 2005 - Psychological Review 112 (1):159-192.
Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model.Ron Sun - manuscript
Accounting for the Computational Basis of Consciousness: A Connectionist Approach.Ron Sun - 1999 - Consciousness and Cognition 8 (4):529-565.
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The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.Ron Sun - 2005 - Psychological Review 112 (1):159-192.
From Implicit Skills to Explicit Knowledge: A Bottom‐Up Model of Skill Learning.Edward Merrillb & Todd Petersonb - 2001 - Cognitive Science 25 (2):203-244.
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