Retrieval, reuse, revision and retention in case-based reasoning 论文

2005The Knowledge Engineering Review引用 564
AI-based Problem Solving and PlanningCognitive Science and MappingIntelligent Tutoring Systems and Adaptive Learning

摘要

Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the traditional problem-solving cycle in CBR, we examine the cognitive science foundations of CBR and its relationship to analogical reasoning. We then review a representative selection of CBR research in the past few decades on aspects of retrieval, reuse, revision and retention.