Capturing human data in a letter counting task: accessibility and action-centeredness in representing cognitive skills.

Abstract

This work presents an integrated model of skill learning that takes into account both implicit and explicit processes and both action-centered and non-action-centered knowledge. The existing distinction between procedural and declarative knowledge unnecessarily confounds these two aspects (action-centeredness and accessibility), and can be made clearer through separating the two aspects. The model is used to simulate human data in a letter counting task. The work shows how the data in this task may be captured using either action-centered knowledge alone or both action-centered and non-action-centered knowledge, though the combined approach produced a better fit. The results demonstrate the difference between these approaches and provide a new perspective on skill learning.