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.
This book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard to the identification, realization, and integration of problem-solving methods for the main problem classes of expert systems.
Frank Puppe
Expert systems Expertensysteme Problemlösungsmethoden classification classifikation configuration expert system knowledge knowledge acquisition knowledge represeentation knowledge representation problem solving problem-solving methods programming simulation