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Systematic Introduction to Expert Systems

Knowledge Representations and Problem-Solving Methods

  • Frank Puppe

Table of contents

  1. Front Matter
    Pages I-XII
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Frank Puppe
      Pages 17-25
  3. Basic Techniques of Knowledge Representation

    1. Front Matter
      Pages 27-27
    2. Frank Puppe
      Pages 29-34
    3. Frank Puppe
      Pages 35-42
    4. Frank Puppe
      Pages 43-50
    5. Frank Puppe
      Pages 51-56
    6. Frank Puppe
      Pages 57-70
    7. Frank Puppe
      Pages 71-78
    8. Frank Puppe
      Pages 79-86
  4. Problem Classes and Problem-Solving Methods

    1. Front Matter
      Pages 87-87
    2. Frank Puppe
      Pages 101-111
  5. Classification

    1. Front Matter
      Pages 113-113
    2. Frank Puppe
      Pages 128-130
    3. Frank Puppe
      Pages 131-148
    4. Frank Puppe
      Pages 156-169
    5. Frank Puppe
      Pages 170-182
    6. Frank Puppe
      Pages 183-190
    7. Frank Puppe
      Pages 191-204
  6. Construction

    1. Front Matter
      Pages 205-205
    2. Frank Puppe
      Pages 216-222
    3. Frank Puppe
      Pages 223-228
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      Pages 229-239
    5. Frank Puppe
      Pages 240-248
    6. Frank Puppe
      Pages 249-252
    7. Frank Puppe
      Pages 253-254
  7. Simulation

    1. Front Matter
      Pages 263-263
    2. Frank Puppe
      Pages 269-270
    3. Frank Puppe
      Pages 271-277
    4. Frank Puppe
      Pages 278-283
  8. Integration of Problem-Solving Methods

    1. Front Matter
      Pages 285-285
    2. Frank Puppe
      Pages 295-313
    3. Frank Puppe
      Pages 314-321
  9. Back Matter
    Pages 322-352

About this book

Introduction

At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods areavailable for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard tothe identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation.

Keywords

Expert systems Expertensysteme Problemlösungsmethoden classification classifikation configuration expert system knowledge knowledge acquisition knowledge represeentation knowledge representation problem solving problem-solving methods programming simulation

Authors and affiliations

  • Frank Puppe
    • 1
  1. 1.Institut für Informatik Lehrstuhl für Künstliche Intelligenz Am HublandUniversität WürzburgWürzburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-77971-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-77973-2
  • Online ISBN 978-3-642-77971-8
  • Buy this book on publisher's site