In this thesis, a progressive refinement approach is
proposed for the use of rule-based systems in real time
applications. In this approach, the knowledge involved Is
constructed in a hierarchy of the levels. Part of this
knowledge determines the time available for a decision.
Progressive refinement allows the system to take corrective
action by forming appropriate solutions within time constraints.
An expert system shell written in Prolog is constructed to
implement the progressive refinement framework. An English
like language is also constructed, which allows the time
constrained rules for the system to be specified in a user
friendly manner.
The framework can be applied to both discrete and
continuous systems. An example is provided of the
application of the framework to a discrete system.
Experiments were also carried out to investigate the
application of the framework to a continuous system, and their results are presented here.
Metadata
Item Type:
Thesis (Master of Science)
Date of Award:
1991
Refereed:
No
Supervisor(s):
Ryan, Michael
Uncontrolled Keywords:
Expert systems (Computer science); Progressive refinement framework;