CABOT: An Adaptive Approach to Case-Based Search
Abstract
This paper describes CABOT, a case-based system that is able to adjust its retrieval and adaptation metrics, in addition to storing cases. It has been applied to the game of OTHELLO. Experiments show that CABOT saves about half as many cases as similar systems that do not adjust their retrieval and adaptation mechanisms. It also consistently beats these systems. These results suggest that existing case-based systems could save fewer cases without reducing their current levels of performance. They also demonstrate that it is beneficial to distinguish failures due to missing information, faulty retrieval, and faulty adaptation.
Cite
Text
Callan et al. "CABOT: An Adaptive Approach to Case-Based Search." International Joint Conference on Artificial Intelligence, 1991.Markdown
[Callan et al. "CABOT: An Adaptive Approach to Case-Based Search." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/callan1991ijcai-cabot/)BibTeX
@inproceedings{callan1991ijcai-cabot,
title = {{CABOT: An Adaptive Approach to Case-Based Search}},
author = {Callan, James P. and Fawcett, Tom and Rissland, Edwina L.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1991},
pages = {803-809},
url = {https://mlanthology.org/ijcai/1991/callan1991ijcai-cabot/}
}