http://cogprints.org/799/
A model of learning task-specific knowledge for a new task
In this paper I will present a detailed ACT-R model of how the task-specific knowledge for a new, complex task is learned. The model is capable of acquiring its knowledge through experience, using a declarative representation that is gradually compiled into a procedural representation. The model exhibits several characteristics that concur with Fitt’s theory of skill learning, and can be used to show that individual differences in working memory capacity initially have a large impact on performance, but that this impact diminished after sufficient experience. Some preliminary experimental data support these findings.
Taatgen, Niels A.
Cognitive Psychology
Artificial Intelligence
Machine Learning
Niels A.
Taatgen