A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
Combining heuristic reasoning with causal reasoning in diagnostic problem solving
Second generation expert systems
The Utility Problem Analysed: A Case-Based Reasoning Perspective
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
ADAPtER: An Integrated Diagnostic System Combining Case-Based and Abductive Reasoning
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
A Utility-Based Approach to Learning in a Mixed Case-Base and Model-Based Reasoning Architecture
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Selecting Most Adaptable Diagnostic Solutions through Pivoting-Based Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Remembering to forget: a competence-preserving case deletion policy for case-based reasoning systems
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Automatic Case Base Management in a Multi-modal Reasoning System
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Remembering Why to Remember: Performance-Guided Case-Base Maintenance
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Efficient Similarity Determination and Case Construction Techniques for Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Deleting and Building Sort Out Techniques for Case Base Maintenance
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Rough Sets Reduction Techniques for Case-Based Reasoning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
When Two Case Bases Are Better than One: Exploiting Multiple Case Bases
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Why Case-Based Reasoning Is Attractive for Image Interpretation
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Automated case base creation and management
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Adaptive case-based reasoning using retention and forgetting strategies
Knowledge-Based Systems
Multiple representations and multi-modal reasoning in medical diagnostic systems
Artificial Intelligence in Medicine
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The paper discusses the different aspects concerning performance arising in multi-modal systems combining Case-Based Reasoning and Model-Based Reasoning for diagnostic problem solving. In particular, we examine the relation among speed-up of problems solving, competence of the system and quality of produced solutions. Because of the well-know utility problem, there is no general strategy for improving all these parameters at the same time, so the trade-off among such parameters must be carefully analyzed. We have developed a case memory management strategy which allows the interleaving of learning of new cases with forgetting phases, where useless and potentially dangerous cases are identified and removed. This strategy, combined with a suitable tuning on the precision required for the retrieval of cases (in terms of estimated adaptation cost), provides an effective mechanism for taking under control the utility problem. Experimental analysis performed on a real-world domain shows in fact that improvements over both speed-up and competence can be obtained, without compromising in a significant way the quality of solutions.