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Item Details
Title: CASE-BASED REASONING
EXPERIENCES, LESSONS, AND FUTURE DIRECTIONS
By: David B. Leake (Editor)
Format: Paperback

List price: £41.00


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ISBN 10: 026262110X
ISBN 13: 9780262621106
Publisher: MIT PRESS LTD
Pub. date: 13 August, 1996
Series: American Association for Artificial Intelligence
Pages: 525
Description: This text presents an introduction and overview of case-based reasoning. It examines the field in a "case-based" way, through concrete examples of how key issues - including indexing and retrieval, case adaptation, evaluation - are being addresed in the context of a range of tasks and domains.
Synopsis: 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.
Publication: US
Imprint: MIT Press
Returns: Returnable
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