Abstraction in Problem Solving and Learning
Abstract
Abstraction has proven to be a powerful tool for controlling the combinatorics of a problemsolving search. It is also of critical importance for learning systems. In this article we present, and evaluate experimentally, a general abstraction method — impasse-driven abstraction-which is able to provide necessary assistance to both problem solving and learning. It reduces the amount of time required to solve problems, and the time required to learn new rules. In addition, it results in the acquisition of rules that are more general than would have otherwise been learned. 1
Cite
Text
Unruh and Rosenbloom. "Abstraction in Problem Solving and Learning." International Joint Conference on Artificial Intelligence, 1989.Markdown
[Unruh and Rosenbloom. "Abstraction in Problem Solving and Learning." International Joint Conference on Artificial Intelligence, 1989.](https://mlanthology.org/ijcai/1989/unruh1989ijcai-abstraction/)BibTeX
@inproceedings{unruh1989ijcai-abstraction,
title = {{Abstraction in Problem Solving and Learning}},
author = {Unruh, Amy and Rosenbloom, Paul S.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1989},
pages = {681-687},
url = {https://mlanthology.org/ijcai/1989/unruh1989ijcai-abstraction/}
}