Progress in Case-Based Reasoning

First United Kingdom Workshop Salford, UK, January 12, 1995 Proceedings

Editors:

ISBN: 978-3-540-60654-3 (Print) 978-3-540-48525-4 (Online)

Table of contents (17 chapters)

  1. No Access

    Book Chapter

    Pages 1-16

    An introduction to case-based reasoning

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    Book Chapter

    Pages 17-31

    Evolutionary case based design

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    Book Chapter

    Pages 32-41

    Formalising the knowledge content of case memory systems

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    Book Chapter

    Pages 42-58

    Beauty vs. the beast: The case against massively parallel retrieval

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    Book Chapter

    Pages 59-72

    Self-questioning and experimentation: An index vocabulary of situated interaction

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    Book Chapter

    Pages 73-84

    Improving the interfaces to interactive case memories

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    Book Chapter

    Pages 85-90

    Capturing and matching dynamic behaviour in case-based reasoning

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    Book Chapter

    Pages 91-106

    Incremental concept learning and case-based reasoning: For a co-operative approach

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    Book Chapter

    Pages 107-117

    Can CBR imitate human intelligence and are such systems easy to design and maintain? A critique

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    Book Chapter

    Pages 119-133

    Deciding parameter values with case-based reasoning

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    Book Chapter

    Pages 134-141

    An application of case based reasoning to object oriented database retrieval

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    Book Chapter

    Pages 142-151

    Case-Based Reasoning: A technique for ‘decision support systems’ in residential valuation and the construction of residential housing

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    Book Chapter

    Pages 152-165

    A hybrid system for decision-making about assets in English divorce cases

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    Book Chapter

    Pages 166-174

    Application of case-based reasoning (CBR) to software reuse

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    Book Chapter

    Pages 175-184

    Case-based reasoning applied to fault diagnosis on steam turbines

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    Book Chapter

    Pages 185-200

    Nirmani: An integrated Case-Based system for strategic design and estimating

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    Book Chapter

    Pages 201-209

    Case-based task management for computer-aided learning