Sparse sampling-based estimation of the retention of rarely used procedural knowledge

Abstract

To better understand and model how procedural knowledge is retained, and specifically procedural knowledge that largely depends on a combination of skills and script knowledge describing what to do when. The aim of this project is to validate a procedural learning task and demonstrate that it can be used to assess the parameters that determine successful script-based skill-learning.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA95501610043

Entities

People

  • D.h. Van Rijn

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Groningen

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence