摘要：Case-based reasoning (CBR) solves problems using the already stored knowledge, and captures new knowledge, making it immediately available for solving the next problem. Therefore, CBR can be seen as a method for problem solving, and also as a method to capture new experience and make it immediately available for problem solving. The CBR paradigm has been originally introduced by the cognitive science community. The CBR community aims to develop computer models that follow this cognitive process. 阅读全文

摘要：文章从基于事例推理(CBR)的研究者及使用者的角度,介绍了目前在CBR中较成熟的技术,重点介绍了事例表示、事例检索、事例修改以及 CBR开发工具等,并分析了其中的不足,指出了CBR的发展前景。 阅读全文

摘要：基于事例的推理(CBR)作为一种增录式的学习方法，规避了传统人下智能在知识获取上的瓶颈问题，逐渐引起人下智能领域研究者的关汁。对基于事例的推理（CBR)现有研究下作进行逻辑上的梳理和系统的总结，有助于今后研究下作的进展，具有深远的理论意义。该文肖次提出基于事例的推理（CBR)研究的逻辑体系结构，在此逻辑分析的基础上，从基木理论、关键技术和实践应用三方而进行了综述，对其中关键、通用的方法和技术进行了比较和评价。最后，对未来的研究方向进行了展望。 阅读全文