Information Filtering: Selection Mechanisms in Learning Systems
Machine Learning
Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization
Machine Learning - Special issue on case-based reasoning
Derivation replay for partial-order planning
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
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
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
Feature Weighting by Explaining Case-Based Planning Episodes
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Maintaining Unstructured Case Base
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Case-Based Reasoning Technology, From Foundations to Applications
Categorizing Case-Base Maintenance: Dimensions and Directions
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
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
Design and implementation of a replay framework based on a partial order planner
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
An Analysis of Research Themes in the CBR Conference Literature
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
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This paper presents a policy to retain new cases based on retrieval benefits for case-based planning (CBP). After each case-based problem solving episode, an analysis of the adaptation effort is made to evaluate the guidance provided by the retrieved cases. If the guidance is determined to be detrimental, the obtained solution is retain as a new case in the case base. Otherwise, if the retrieval is beneficial, the case base remains unchanged. We will observe that the notion of adaptable cases is not adequate to address the competence of a case base in the context of CBP. Instead, we claim that the notion of detrimental retrieval is more adequate. We compare our retain policy against two policies in the CBP literature and claim that our policy to retain cases based on the benefits is more effective. Our claim is supported by empirical validation.