This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780262621106.

Codice articolo 9952789

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Dati bibliografici

Titolo

Case-Based Reasoning: Experiences, Lessons, and Future Directions

Editore

The MIT Press

Data di pubblicazione

1996

Lingua

Inglese

ISBN 10

026262110X

ISBN 13

9780262621106

Rilegatura

Brossura

Condizione

Good

Peso

800 grammi

Cataloghi dei venditori

Social Sciences

Descrizione articolo

Riassunto

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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