De´ja` Vu: a hierarchical case-based reasoning system for software design
ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
An Adaptation Heuristic for Case-Based Estimation
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Case-Based Design for Tablet Formulation
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Acquiring case adaptation knowledge: a hybrid approach
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Learning to Adapt for Case-Based Design
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Learning and Applying Case-Based Adaptation Knowledge
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
SUBSTITUTIONAL ADAPTATION IN CASE-BASED REASONING: A GENERAL FRAMEWORK APPLIED TO P-TRUCK CURING
Applied Artificial Intelligence
Case-Based Reasoning Adaptation for High Dimensional Solution Space
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-based adaptation for product formulation
International Journal of Computer Integrated Manufacturing
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case base mining for adaptation knowledge acquisition
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Introspective learning to build case-based reasoning (CBR) knowledge containers
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Towards a general framework for substitutional adaptation in case-based reasoning
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Expert Systems with Applications: An International Journal
A knowledge-light approach to regression using case-based reasoning
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Supporting adaptive clinical treatment processes through recommendations
Computer Methods and Programs in Biomedicine
| Hi-index | 0.00 |
One advantage of Case-Based Reasoning (CBR) is the relative ease of constructing and maintaining CBR systems, especially as a number of commercial CBR tools are available. However, there are areas of CBR that current tools have not yet addressed. One of these is easing or automating the acquisition of adaptation knowledge. Since tasks like design or planning typically require a significant amount of adaptation, CBR systems for these tasks still do not fully benefit from CBR's promise of reducing the development effort. To address this, we have developed several "knowledge-light" methods for learning adaptation knowledge from the cases in the case-base. These methods perform substitutional adaptation, for both nominal and numerical values, and are suitable for decomposable design problems, in particular formulation and configuration. Tests performed on a tablet formulation domain show promising results. The automatic adaptation methods we present can easily be incorporated in general-purpose CBR tools, thus further contributing to reducing the cost of CBR systems.