Systematic Introduction to Expert Systems

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

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      Pages 35-42

   4. Objects/Frames

      • Frank Puppe

      Pages 43-50

   5. Constraints

      • Frank Puppe

      Pages 51-56

   6. Probabilistic Reasoning

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      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

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.

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

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

  Frank Puppe

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