Adaptation Rule Learning for Case-Based Reasoning

Abstract

A method of learning adaptation rules for case- based reasoning (CBR) is proposed in this paper. Adaptation rules are generated from the case-base with the guidance of domain knowledge which is also extracted from the case-base. The adaptation rules are refined before they are applied in the revision process. After solving each new problem, the adaptation… (More)
DOI: 10.1109/SKG.2007.37

Topics

7 Figures and Tables

Cite this paper

@article{Li2007AdaptationRL, title={Adaptation Rule Learning for Case-Based Reasoning}, author={Huan Li and Dawei Hu and Tianyong Hao and Wenyin Liu and Xiaoping Chen}, journal={Third International Conference on Semantics, Knowledge and Grid (SKG 2007)}, year={2007}, pages={44-49} }