This paper discusses the design, construction, and use of a prototype expert system shell, EXE. EXE is non-conventional in that it does not provide a traditional forward or backward chaining inference mechanism. Instead, it allows the domain expert to control the logic flow of the system in a dynamic fashion....
The purpose of this paper is to describe the
application of expert system concepts to cartographic
problems. Expert systems, a subfield of artificial
intelligence, are computer programs based on knowledge and
symbolic reasoning. The basic principles of expert systems
will be explained. Areas of cartography that are most
suitable for...
"Expert systems" is an area in the field of
artificial intelligence which attempts to encode an
"expert's" heuristic knowledge and reasoning ability into
a computer program. The purpose of this study is to
investigate the applicability of using an "expert system"
in a closed-loop automatic control system.
An "expert system"...
Expert systems have been suggested as a solution
for difficult problems, including FMS scheduling. As
one of the aspects of artificial intelligence (AI), expert
systems have achieved considerable success in recent
years in medical science, chemistry, and engineering.
However, building an expert system is a difficult
task, the most crucial...
Knowledge based systems can require large, highly complex and varied
forms of knowledge. An effective knowledge acquisition tool to support
such a system should allow the user to transfer and manipulate the different forms knowledge in a manner that is clear and intuitive. ASTEK is
a knowledge acquisition tool that...
Expert systems is an area of artificial intelligence that shows promise for a wide
variety of applications, particularly in solving problems that have always been considered
too large and complex for solution by conventional approaches. However, the process of
eliciting expertise from an expert, knowledge acquisition, is recognized as the...
In this research paper, a ported development support tool, the MacExpert, for implementing an expert system on Macintosh will be introduced. This application is designed to allow its user to develop an expert system in a simple and user-friendly environment, the Macintosh personal computers, yet with adequate power.
The goal of Inductive Learning is to produce general rules from a set of seen examples, which can then be applied to other unseen examples. ID3 is an inductive learning algorithm that can be used for the classification task. The input to the algorithm is a set of tuples of...
The focus of this research is to develop a prototype
expert system for softwood lumber grading. The grading
rules used in the knowledge base of the system are based on
Western Lumber Grading Rules 88 published by the Western
Wood Products Association. The system includes 27 grades
in Dimension, Select/Finish,...