Systematic Introduction to Expert Systems
Knowledge Representations and Problem-Solving Methods
Published on 15. November 2011
Book
Paperback/Softback
XII, 352 pages
978-3-642-77973-2 (ISBN)
Description
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.
More details
Edition
Softcover reprint of the original 1st ed. 1993
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Professional/practitioner
Illustrations
XII, 352 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 20 mm
Weight
557 gr
ISBN-13
978-3-642-77973-2 (9783642779732)
DOI
10.1007/978-3-642-77971-8
Schweitzer Classification
Other editions
Additional editions
Frank Puppe
Systematic Introduction to Expert Systems
Knowledge Representations and Problem-Solving Methods
Book
05/1993
Springer
€85.55
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Content
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.