摘要： 基于规则的推理（RBR）和基于案例的推理（CBR）则是知识工程中两类实用有效的推理方式。文中提出了一种RBR与CBR相互集成的方法，为消除CBR和CBR结果之间的冲突，引入了逆案例、隐含规则和相似性度量等概念，以此提高了系统求解问题的效率，增强了系统对不良结构问题的适应性。

关键词: 基于规则推理, 基于案例推理, 逆案例, 隐含规则, 相拟性度量

Abstract: Rule-based and case-based reasoning are two important efficient reasoning methods in artificial intelligence field.A new integration approach is presented in this paper, To reconcile the conclusions of RBR and CBR, we have introduced the concepts such as negative cases, implicit rules, similarity metric to improve the RBR and speed up the CBR.

中图分类号: 

• TP18