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" Systematic Introduction to Expert Systems : "
by Frank Puppe.
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BL
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| Record Number
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753788
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b573749
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| Main Entry
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by Frank Puppe.
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| Title & Author
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Systematic Introduction to Expert Systems : : Knowledge Representations and Problem-Solving Methods\ by Frank Puppe.
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| Publication Statement
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Berlin, Heidelberg : Springer Berlin Heidelberg, 1993
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(xii, 352 pages 129 illustrations)
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| ISBN
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3642779719
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: 9783642779718
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| Contents
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I Introduction --; 1 Characterization and History of Expert Systems --; 2 Programming Languages and Expert System Tools --; 3 Use and Usability of Expert Systems --; II Basic Techniques of Knowledge Representation --; 4 Logic --; 5 Rules --; 6 Objects/Frames --; 7 Constraints --; 8 Probabilistic Reasoning --; 9 Non-Monotonic Reasoning --; 10 Temporal Reasoning --; III Problem Classes and Problem-Solving Methods --; 11 Previous Approaches to Problem Classification --; 12 Principles of Problem-Solving Methods --; Classification --; 13 Survey of the Problem-Solving Type Classification --; 14 Simple Classification --; 15 Heuristic Classification --; 16 Heuristic Classification: Additional Mechanisms --; 17 Set-Covering Classification --; 18 Functional Classification --; 19 Statistical Classification --; 20 Case-Comparing Classification --; V Construction --; 21 Review of the Problem-Solving Type Construction --; 22 Skeletal Construction --; 23 Propose and Revise --; 24 Propose and Exchange --; 25 Least-Commitment Strategy --; 26 Model-Based Planning --; 27 Case-Comparing Construction --; 28 Partial Integration of Construction Methods --; VI Simulation --; 29 Review of the Problem-Solving Type Simulation --; 30 Single-Phase Simulation --; 31 Numerical Multiple-Phase Simulation --; 32 Qualitative Multiple-Phase Simulation --; VII Integration of Problem-Solving Methods --; 33 Basic Ideas for the Integration of Problem-Solving Methods --; 34 Integration of Classification Methods --; 35 Aspects of the Overall Integration --; Appendix: Survey of Knowledge Representation Formalisms --; References --; System Index.
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| Abstract
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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.
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Artificial intelligence.
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Computer science.
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Management information systems.
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| LC Classification
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QA76.76.E95B947 1993
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Frank Puppe
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