ABSTRACT
Case-Based Reasoning (CBR) is sometimes classified under Machine Learning, and supports knowledge acquisition and problem-solving. It is also sometimes associated with other technologies such as analogy, cognitive psychology modeling, machine learning, and information retrieval. CBR has been applied to a variety of applications including diagnosis, classification, story understanding, interpretation, tutoring, planning, scheduling, design, and forecasting/prediction. In solving planning and design problems, for example, CBR has proven useful in that plans and designs that have been used successfully in the past are re-used, instead of having to start from scratch. CBR has been most successful in the area of help desks, the most notable being Support Management Automated Reasoning Technology for Compaq Computer Corporation. CBR hybrid systems capitalize on the inherent strengths of the other reasoning paradigms to counter the weaknesses in CBR, and complement its strengths. CBR has come a long way from a laboratory model to a methodology supported by commercial products.
