Case-based reasoning
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
Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
An Accurate Adaptation-Guided Similarity Metric for Case-Based Planning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Diagnosis and Decision Support
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning: Survey and Future Directions
XPS '99 Proceedings of the 5th Biannual German Conference on Knowledge-Based Systems: Knowledge-Based Systems - Survey and Future Directions
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
CORDS: automatic discovery of correlations and soft functional dependencies
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Adaptation guided retrieval based on formal concept analysis
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Reasoning as remembering: the theory and practice of CBR
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Case-based similarity assessment: estimating adaptability from experience
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Fast case retrieval nets for textual data
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis
International Journal of Advanced Intelligence Paradigms
| Hi-index | 0.00 |
In Case Based Reasoning (CBR), case retrieval is generally guided by similarity. However, the most similar case may not be the easiest one to adapt, and it may be helpful to also use an adaptability criterion to guide the retrieval process. The goal of this paper is twofold: First, it proposes a method of case retrieval that relies simultaneously on similarity and adaptation costs. Then, it illustrates its use by integrating adaptation cost into the Case Retrieval Net (CRN) memory model, a similarity-based case retrieval system. The described retrieval framework optimizes case reuse early in the inference cycle, without incurring the full cost of an adaptation step. Our results on a case study reveal that the proposed approach yields better recall accuracy than CRN's similarity only-based retrieval while having similar computational complexity.