Case-based Reasoning by Janet L Kolodner

Case-based Reasoning by Janet L Kolodner

Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based 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 case-based reasoning. The author synthesizes and analyzes a broad range of approaches, with special emphasis on applying case-based reasoning to complex real-world problem-solving 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 common-sense tasks. Guidelines for building case-based 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 case-based reasoning. It is also a useful resource for computer professionals and cognitive scientists interested in learning more about this fast-growing field.

By Janet Kolodner

SKU	Unavailable
ISBN 13	9781558602373
ISBN 10	1558602372
Title	Case-based Reasoning
Author	Janet L Kolodner
Series	The Morgan Kaufmann Series In Representation And Reasoning
Condition	Unavailable
Binding Type	Hardback
Publisher	Elsevier Science & Technology
Year published	1993-09-01
Number of pages	612
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.