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Table of contents

  1. Front Matter
    PDF
  2. Relations between knowledge engineering and cognitive science: From import/export to a truly interdisciplinary knowledge acquisition enterprise
    Franz Schmalhofer
    Pages 1-5
  3. Making application programming more worthwhile
    Geoffroy Dallemagne, Georg Klinker, David Marques, John McDermott, David Tung
    Pages 6-22
  4. Using information technology to solve real world problems
    Michel Manago, Noël Conruyt
    Pages 23-38
  5. Facts, fantasies and frameworks: the design of a knowledge acquisition workbench
    Nigel Shadbolt
    Pages 39-58
  6. Mapping expert behavior onto task-level frameworks: The need for “Eco-pragmatic” approaches to knowledge engineering
    Rolf Pfeifer, Thomas Rothenfluh, Markus Stolze, Felix Steiner
    Pages 59-77
  7. Knowledge acquisition and the interpretative paradigm
    Dieter Fensel
    Pages 78-95
  8. Case-based reasoning and model-based knowledge-acquisition
    Dietmar Janetzko, Gerhard Strube
    Pages 97-114
  9. The refitting of plans by a human expert
    Franz Schmalhofer, Christoph Globig, Jörg Thoben
    Pages 115-124
  10. Knowledge acquisition by generating skeletal plans from real world cases
    Ralph Bergmann
    Pages 125-133
  11. Knowledge acquisition from cases
    Sonja Branskat
    Pages 134-138
  12. Transforming examples into cases
    Peter Reimann, Thomas J. Schult
    Pages 139-145
  13. Case-based reasoning and expert system development
    Klaus -Dieter Althoff, Stefan Weß
    Pages 146-158
  14. The role of cognitive science in knowledge engineering
    Gerhard Strube
    Pages 159-174
  15. Knowledge acquisition as an empirically based modelling activity
    Beate Schlenker, Thomas Wetter
    Pages 175-182
  16. Shifting positions: Moving from a cognitive science point of view to a knowledge engineering stance
    Marc Linster
    Pages 183-189
  17. Two questions from expert system developers to cognitive scientists
    Frank Puppe, Ute Gappa
    Pages 190-193
  18. The cognitive basis of knowledge engineering
    J. Brian Woodward, M. L. G. Shaw, B. R. Gaines
    Pages 194-221
  19. A comparative assessment of selected approaches in the focal area of knowledge engineering and cognition
    Thomas Wetter
    Pages 223-252
  20. Back Matter
    PDF

About these proceedings

Introduction

This book has its source in the question of whether any knowledge engineering tools can be applied or analyzed in cognition research and what insights and methods of cognitive science might be relevant for knowledge engineers. It presents the proceedings of a workshop organized by the Special Interest Groups Cognition and Knowledge Engineering of the German Society for Informatics, held in February 1992 in Kaiserslautern. The book is structured into three parts. The first part contrasts work in knowledge engineering with approaches from the side of the "soft sciences". The second part deals with case-based approaches in expert systems. Cognition research and the cognitive adequacy of expert systems are discussed in the third part. Contributions from Canada, England, France, Switzerland, and the USA demonstrate how knowledge engineering and cognitive science are woven together internationally.

Keywords

Cognition Expert Systems Expertensysteme Kognition Learning Lerntheorie Problem Solving Problemlösungsstrategien Wissensverarbeitung case-based reasoning cognitive science expert system knowledge engineering modeling system development

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0045676
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-55711-1
  • Online ISBN 978-3-540-47277-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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