|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. © 2001 Cognitive Science Society, Inc. All rights reserved.|
|Keywords||No keywords specified (fix it)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Ron Sun & Xi Zhang, Accessibility Versus Action-Centeredness in the Representation of Cognitive Skills.
Ron Sun, Todd Peterson & Edward Merrill, Bottom-Up Skill Learning in Reactive Sequential Decision Tasks.
Ron Sun, The Interaction of the Explicit and the Implicit in Skill Learning: A Dual-Process Approach.
Added to index2009-06-13
Total downloads28 ( #44,065 of 549,065 )
Recent downloads (6 months)2 ( #37,252 of 549,065 )
How can I increase my downloads?