Successful case-based reasoning applications - 1 / edited by Stefania Montani, Lakhmi C. Jain
- 其他作者：
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- Springer eBooks
- 出版： Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg 2010
- 叢書名： Studies in computational intelligence ,v. 305
- 主題： Case-based reasoning. , Engineering. , Computational intelligence , Artificial Intelligence (incl. Robotics) , Health Informatics.
- ISBN： 9783642140785 (electronic bk.) 、 9783642140778 (paper)
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電子書
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讀者標籤：
- 系統號： 005177217 | 機讀編目格式
館藏資訊
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.