Title
CaseBased Reasoning
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Casebased reasoning is one of the fastest growing areas in the field of knowledgebased systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Casebased reasoning systems are systems that store information about situations in their memory. As new problems arise, similar situations are searched out to help solve these problems. Problems are understood and inferences are made by finding the closest cases in memory, comparing and contrasting the problem with those cases, making inferences based on those comparisons, and asking questions when inferences can t be made.This book presents the state of the art in casebased reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying casebased reasoning to complex realworld problemsolving tasks such as medical diagnosis, design, conflict resolution, and planning. The author s approach combines cognitive science and engineering, and is based on analysis of both expert and commonsense tasks. Guidelines for building casebased expert systems are provided, such as how to represent knowledge in cases, how to index cases for accessibility, how to implement retrieval processes for efficiency, and how to adapt old solutions to fit new situations.This book is an excellent text for courses and tutorials on casebased reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fastgrowing field.
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