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＜電子ブック＞
Progress in Case-Based Reasoning : First United Kingdom Workshop, Salford, UK, January 12, 1995. Proceedings / edited by Ian D. Watson
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 1020)

版	1st ed. 1995.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1995
本文言語	英語
大きさ	VIII, 220 p : online resource
著者標目	Watson, Ian D editor SpringerLink (Online service)
件　名	LCSH:Artificial intelligence LCSH:Business information services FREE:Artificial Intelligence FREE:IT in Business
一般注記	An introduction to case-based reasoning -- Evolutionary case based design -- Formalising the knowledge content of case memory systems -- Beauty vs. the beast: The case against massively parallel retrieval -- Self-questioning and experimentation: An index vocabulary of situated interaction -- Improving the interfaces to interactive case memories -- Capturing and matching dynamic behaviour in case-based reasoning -- Incremental concept learning and case-based reasoning: For a co-operative approach -- Can CBR imitate human intelligence and are such systems easy to design and maintain? A critique -- Deciding parameter values with case-based reasoning -- An application of case based reasoning to object oriented database retrieval -- Case-Based Reasoning: A technique for ‘decision support systems’ in residential valuation and the construction of residential housing -- A hybrid system for decision-making about assets in English divorce cases -- Application of case-based reasoning (CBR) to software reuse -- Case-based reasoning applied to fault diagnosis on steam turbines -- Nirmani: An integrated Case-Based system for strategic design and estimating -- Case-based task management for computer-aided learning This volume constitutes the refereed revised proceedings of the First United Kingdom Workshop on Case-Based Reasoning, held in Salford, UK in January 1995. The 16 revised papers presented are organized in theoretical and application papers; in addition, there is a comprehensive introduction to the volume and case-based reasoning in general by the volume editor. Among the topics addressed are case-based design, case memories, concept learning, retrieval, decision making, and case-based planning. The volume is of interest to researchers in the area and to professionals applying case-based reasoning techniques HTTP:URL=https://doi.org/10.1007/3-540-60654-8

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