Explaining and repairing plans that fail
Artificial Intelligence
Unifying instance-based and rule-based induction
Machine Learning
Artificial Intelligence Review - Special issue on lazy learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Machine Learning
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
A Support System Based on CBR for the Design of Rubber Compounds in Motor Racing
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Learning to Adapt for Case-Based Design
ECCBR '02 Proceedings of the 6th European Conference 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
Case-Based Reasoning Technology, From Foundations to Applications
Design, innovation and case-based reasoning
The Knowledge Engineering Review
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Tenth anniversary of the plastics color formulation tool
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
minimizing dialog length in interactive case-based reasoning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Using case-base data to learn adaptation knowledge for design
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Acquiring case adaptation knowledge: a hybrid approach
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Five Perspectives on Case Based Reasoning
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Opportunistic Acquisition of Adaptation Knowledge and Cases -- The IakA Approach
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Adaptation through Planning in Knowledge Intensive CBR
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Integrating radial basis function networks with case-based reasoning for product design
Expert Systems with Applications: An International Journal
Representing Case Variations for Learning General and Specific Adaptation Rules
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Multi-agent Based Personal File Management Using Case Based Reasoning
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Opportunistic Adaptation Knowledge Discovery
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Four Heads Are Better than One: Combining Suggestions for Case Adaptation
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-based adaptation for automotive engine electronic control unit calibration
Expert Systems with Applications: An International Journal
Managing computer files via artificial intelligence approaches
Artificial Intelligence Review
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Towards case-based adaptation of workflows
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Data-driven integrated modeling and intelligent control methods of grinding process
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
A real-time risk control and monitoring system for incident handling in wine storage
Expert Systems with Applications: An International Journal
Case-based adaptation of workflows
Information Systems
A New Hybrid Case-Based Reasoning Approach for Medical Diagnosis Systems
Journal of Medical Systems
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Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, the retrieved solution can be reused directly. But for design tasks it is common for the retrieved solution to be regarded as an initial solution that should be refined to reflect the differences between the new and retrieved problems. The acquisition of adaptation knowledge to achieve this refinement can be demanding, despite the fact that the knowledge source of stored cases captures a substantial part of the problem-solving expertise. This paper describes an introspective learning approach where the case knowledge itself provides a source from which training data for the adaptation task can be assembled. Different learning algorithms are explored and the effect of the learned adaptations is demonstrated for a demanding component-based pharmaceutical design task, tablet formulation. The evaluation highlights the incremental nature of adaptation as a further reasoning step after nearest-neighbour retrieval. A new property-based classification to adapt symbolic values is proposed, and an ensemble of these property-based adaptation classifiers has been particularly successful for the most difficult of the symbolic adaptation tasks in tablet formulation.