R5 model for case-based reasoning

摘要

This paper reviews some existing models of case-based reasoning (CBR) such as the R4 model of CBR and proposes a R5 model, in which repartition, retrieve, reuse, revise and retain are the main tasks for the CBR process. The original idea behind this model is that case base building is an important part of CBR and the case base can be built based on partitioning of the possible world of problems and solutions. It argues that the proposed R5 model is a new approach to using similarity-based reasoning to unify case base building, case retrieval, and case adaptation, and therefore facilitates the development of CBR with applications.