Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Case Based Reasoning. Pages 384-389.
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 reasoning and to hierarchical problem solving ab initio
@inproceedings{ijcai1995p51,
title = {Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes},
author = {Branting, Karl and Aha, David W.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {384--389},
year = {1995},
note = {Case Based Reasoning},
url = {https://ijcai.org/proceedings/1995/51},
}
TY - CPAPER TI - Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes AU - Branting, Karl AU - Aha, David W. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 384 EP - 389 UR - https://ijcai.org/proceedings/1995/51 ER -Copied
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