Learning by observing and understanding expert problem-solving
Learning by observing and understanding expert problem-solving
Case-based reasoning
Tolerating Concept and Sampling Shift in Lazy Learning UsingPrediction Error Context Switching
Artificial Intelligence Review - Special issue on lazy learning
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
Building a Case-Based Help Desk Application
IEEE Expert: Intelligent Systems and Their Applications
Modelling the Competence of Case-Bases
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Case-Based Reasoning in Color Matching
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Categorizing Case-Base Maintenance: Dimensions and Directions
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Probabilistic Indexing for Case-Based Prediction
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
Using introspective reasoning to refine indexing
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
Collaborative Maintenance - A Distributed, Interactive Case-Base Maintenance Strategy
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
On Quality Measures for Case Base Maintenance
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
Methodological Assistance for Integrating Data Quality Evaluations into Case-Based Reasoning Systems
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Horizontal Case Representation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Adaptive case-based reasoning using retention and forgetting strategies
Knowledge-Based Systems
Self-aware and learning structure
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Selecting the best units in a fleet: performance prediction from equipment peers
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Cases, context, and comfort: opportunities for case-based reasoning in smart homes
Designing Smart Homes
Reexamination of CBR hypothesis
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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Case-based problem-solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected benefits of this learning process depend on two types of regularity: (1) problem-solution regularity, the relationship between problem-to-problem and solution-to-solution similarity measures that assures that solutions to similar prior problems are a useful starting point for solving similar current problems, and (2) problem-distribution regularity, the relationship between old and new problems that assures that the case library will contain cases similar to the new problems it encounters. Unfortunately, these types of regularity are not assured. Even in contexts for which initial regularity is sufficient, problems may arise if a system's users, tasks, or external environment change over time. This paper defines criteria for assessing the two types of regularity, discusses how the definitions may be used to assess the need for case-base maintenance, and suggests maintenance approaches for responding to those needs. In particular, it discusses the role of analysis of performance over time in responding to environmental changes.