- Paperback: 436 pages
- Publisher: MIT Press (30 Sep 1996)
- Language English
- ISBN-10: 026262110X
- ISBN-13: 978-0262621106
- Product Dimensions: 23 x 15.4 x 2.9 cm
- Amazon Bestsellers Rank: 2,578,673 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
Case-based reasoning (CBR) is a flourishing paradigm for reasoning and learning in artificial intelligence, with major research efforts and burgeoning applications extending the frontiers of the field.This book provides an introduction for students as well as an up-to-date overview for experienced researchers and practitioners. It examines the field in a "case-based" way, through concrete examples of how key issues -- including indexing and retrieval, case adaptation, evaluation, and application of CBR methods -- are being addressed in the context of a range of tasks and domains. Complementing these case studies are commentaries by leading researchers on the lessons learned from experiences with CBR and visions for the roles in which case-based reasoning can have the greatest impact.A tutorial introduction by Janet Kolodner, one of the originators of CBR, and David Leake makes the book accessible to students and developers starting to apply case-based reasoning. The volume can also serve as a suitable companion for a CBR or introductory AI textbook.
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2 of 5 people found the following review helpful
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10 Jun 2000
Format:Paperback
yes the book addresses to basics. but some live and practical examples sould have been included.
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