Explanation-Based Learning
- Russ Greiner, Dept of Computing Science; PI of AICML
'Explanation-based learning' (EBL) systems attempt to improve the performance of a PROBLEM SOLVER (PS), by first examining how PS solved previous problems, then modifying PS, to enable it to solve similar problems better (typically, more efficiently), in the future. This article first motivates and explains this explanation-based learning task, then discusses the challenges that any EBL system must address, and presents several successful implementations. It concludes by distinguishing this learning task from other types of learning.
Citation
R. Greiner. "Explanation-Based Learning". MIT Encyclopedia of the Cognitive Sciences, MIT Encyclopedia of the Cognitive Sciences (MITECS), MIT Press, pp 301--303, May 1999.| Keywords: | explanation, machine learning, EBL, PALO |
| Category: | In Book |
BibTeX
@inbook{Greiner:99,
author = {Russ Greiner},
title = {Explanation-Based Learning},
Booktitle = {MIT Encyclopedia of the Cognitive Sciences (MITECS)},
Publisher = {MIT Press},
Pages = {301--303},
year = 1999,
}Last Updated: August 13, 2007Submitted by Russ Greiner
