Successful case-based reasoning applications. Stefania Montani and Lakhmi C. Jain (Eds.). 1 /
"Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases.In this book...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer,
[2010]
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| Series: | Studies in computational intelligence ;
v. 305. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases.In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available."--Publisher's website. |
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| Physical Description: | 1 online resource (222 pages) : portraits. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3642140777 9783642140778 128000570X 9781280005701 3642140785 9783642140785 |