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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/763

Title: Analogous Reasoning and Case-based Reasoning for Intelligent Decision Support Systems
Authors: Eremeev, Alexander
Varshavsky, Pavel
Keywords: Artificial Intelligence
Learning–Analogies
Knowledge Representation Formalisms and Methods
Semantic Networks
Issue Date: 2006
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Methods of analogous reasoning and case-based reasoning for intelligent decision support systems are considered. Special attention is drawn to methods based on a structural analogy that take the context into account. This work was supported by RFBR (projects 02-07-90042, 05-07-90232).
URI: http://hdl.handle.net/10525/763
ISSN: 1313-0463
Appears in Collections:Volume 13 Number 4

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