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Systematic Introduction to Expert Systems

Knowledge Representations and Problem-Solving Methods

  • Book
  • © 1993

Overview

Authors:
  1. Frank Puppe

    1. Institut für Informatik Lehrstuhl für Künstliche Intelligenz Am Hubland, Universität Würzburg, Würzburg, Germany

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Table of contents (35 chapters)

  1. Front Matter

    Pages I-XII
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Characterization and History of Expert Systems

      • Frank Puppe
      Pages 3-8

    3. Programming Languages and Expert System Tools

      • Frank Puppe
      Pages 9-16

    4. Use and Usability of Expert Systems

      • Frank Puppe
      Pages 17-25

  3. Basic Techniques of Knowledge Representation

    1. Front Matter

      Pages 27-27
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    2. Logic

      • Frank Puppe
      Pages 29-34

    3. Rules

      • Frank Puppe
      Pages 35-42

    4. Objects/Frames

      • Frank Puppe
      Pages 43-50

    5. Constraints

      • Frank Puppe
      Pages 51-56

    6. Probabilistic Reasoning

      • Frank Puppe
      Pages 57-70

    7. Non-Monotonic Reasoning

      • Frank Puppe
      Pages 71-78

    8. Temporal Reasoning

      • Frank Puppe
      Pages 79-86

  4. Problem Classes and Problem-Solving Methods

    1. Front Matter

      Pages 87-87
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    2. Previous Approaches to Problem Classification

      • Frank Puppe
      Pages 89-100

    3. Principles of Problem-Solving Methods

      • Frank Puppe
      Pages 101-111

  5. Classification

    1. Front Matter

      Pages 113-113
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    2. Survey of the Problem-Solving Type Classification

      • Frank Puppe
      Pages 115-127

    3. Simple Classification

      • Frank Puppe
      Pages 128-130

    4. Heuristic Classification

      • Frank Puppe
      Pages 131-148
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Keywords

About this book

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.

Authors and Affiliations

  • Institut für Informatik Lehrstuhl für Künstliche Intelligenz Am Hubland, Universität Würzburg, Würzburg, Germany

    Frank Puppe

Bibliographic Information

  • Book Title: Systematic Introduction to Expert Systems

  • Book Subtitle: Knowledge Representations and Problem-Solving Methods

  • Authors: Frank Puppe

  • DOI: https://doi.org/10.1007/978-3-642-77971-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1993

  • Softcover ISBN: 978-3-642-77973-2Published: 15 November 2011

  • eBook ISBN: 978-3-642-77971-8Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XII, 352

  • Topics: Artificial Intelligence, Programming Languages, Compilers, Interpreters, IT in Business

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