Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes
Abstract
Stratified case-based reasoning is a technique in which abstract solutions produced during hierarchical problem solving are used to assist casebased retrieval, matching, and adaptation. We describe the motivation for the integration of case-based reasoning with hierarchical problem solving, exemplify its benefits, detail a set of algorithms that implement our approach, and present their comparative empirical evaluation on a path planning task. Our results show that stratified case-based reasoning significantly decreases the computational expense required to retrieve, match, and adapt cases, leading to performance superior both to simple case-based
Cite
Text
Branting and Aha. "Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes." International Joint Conference on Artificial Intelligence, 1995.Markdown
[Branting and Aha. "Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes." International Joint Conference on Artificial Intelligence, 1995.](https://mlanthology.org/ijcai/1995/branting1995ijcai-stratified/)BibTeX
@inproceedings{branting1995ijcai-stratified,
title = {{Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes}},
author = {Branting, Karl and Aha, David W.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1995},
pages = {384-390},
url = {https://mlanthology.org/ijcai/1995/branting1995ijcai-stratified/}
}