title: Exploiting qualitative knowledge to enhance skill acquisition
creator: Baroglio, Cristina
subject: Behavioral Analysis
subject: Cognitive Psychology
subject: Artificial Intelligence
subject: Machine Learning
subject: Robotics
description: One of the most interesting problems faced by Artificial Intelligence researchers is to reproduce a capability typical of living beings: that of learning to perform motor tasks, a problem known as skill acquisition. A very difficult purpose because the overwhole behavior of an agent is the result of quite a complex activity, involving sensory, planning and motor processing. In this paper, I present a novel approach for acquiring new skills, named Soft Teaching, that is characterized by a learning by experience process, in which an agent exploits a symbolic, qualitative description of the task to perform, that cannot, however, be used directly for control purposes. A specific Soft Teaching technique, named Symmetries, was implemented and tested against a continuous-domained version of well-known pole-balancing.
publisher: Springer Verlag
contributor: van Someren, Maarten
contributor: Widmer, Gerhard
date: 1997
type: Conference Paper
type: NonPeerReviewed
format: application/postscript
identifier: http://cogprints.org/528/2/paper.ps
identifier:   Baroglio, Cristina  (1997) Exploiting qualitative knowledge to enhance skill acquisition.  [Conference Paper]     
relation: http://cogprints.org/528/