MITS5509 Intelligent Systems: Expert System Research Report

This report delves into the realm of expert systems, a foundational area within Artificial Intelligence. It begins by defining expert systems and their purpose of emulating human decision-making capabilities to solve complex problems. The report then outlines the key components, including the knowledge base, which stores expert domain knowledge and rules, and the inference engine, responsible for reasoning. The architecture of expert systems, comprising user interfaces, explanation facilities, knowledge acquisition, inference engines, and agendas, is also discussed. Furthermore, the report explores the development phases, limitations, and methodologies used in expert systems research, including the case study approach. Finally, it highlights various applications of expert systems across different domains, such as commercial shells, web-based services, and medical systems like MYCIN, and concludes by summarizing the importance and potential of expert systems within the broader context of AI.

Expert System
INTELLIGENT SYSTEMS
Name of the Student:
Student Id:
Author note:

Contents
• Expert system
• Expert system components
• Expert system Architecture
• Phase for Development of the Experts System
• Limitations
• Methodology Used For Research
• Applications
• Conclusion
• References

Expert System
• The Expert system is one of the earliest research fields in the Artificial Intelligence
Technology.
• The expert system follows a general architecture which is for emulating the ability of
decision making of an expert or a human.
• This technology was developed for solving complex problems and reasoning for which
it needs an interface and other features as well.

Components of the Expert System
• The expert system has two major
classifications and they are the
knowledge base and the inference
engine.
• All the knowledge regarding the
domain of the expert is stored in
the knowledge base.
• The knowledge base also consists
of the rules and regulations
regarding the expert’s skills
regarding the domain which is
taken into consideration.
Expert
system
Knowledg
e based
Inference
engine

Continued…
• Inference engine is phase of the
technology which can be acquired
with the help of the knowledge base.
• There are numerous phases in the
inference engine phase which
depends upon the IF - THEN rule of
the knowledge base in the Expert
System.
• The two major classification of the
Inference engine are the Forward
chaining and the Backward chaining.
Inference Engine
Forward
chaining
Backward
Chaining

Expert System Architecture
The components of the Expert System Architecture are:
• The User Interface is the mechanism by which the user
establish a connection with the Expert System with the help
of the communication.
• The Explanation facility helps in explaining the system’s
reasoning to the user
• Knowledge Acquisition which is an automatic facility
allowing the user to enter the knowledge into the system.
• Inference engines helps in generating the inferences such
that the rules and regulation of the system are followed and
satisfied.
• Agenda, which is a list of rules which are selected by the
inference engine itself

Phase for Development of the Expert System
There are two phases for the
development of the ES and they are:
• Knowledge Elicitation phase and
• The Rule Based Expert
 The Knowledge Elicitation is the phase of obtaining knowledge
with the help of Surveys and interviews.
 The Rule Based ES helps in application of the rules following IF-
THEN conditions to the knowledge. The IF part of the
knowledge is used as the Antecedents and the THEN part is
consequent of the knowledge.

Limitations
Certain limitations of the Expert system as discussed are:
 ES works better in the narrow domain
 It is incapable of making decisions based on the common senses
 Absence of Creativity
 It is not capable of explaining the logic behind the decision
making activity
 Biasness amongst the knowledge experts due to their
perspective of understanding or input-ing the knowledge.

Methodology
 This is the part of the research which allows the reader to
understand the way in which the research has been conducted.
 For the purpose of the research the Authors have considered
the case study research methodology.
 A case study can be regarded as a strategy for researching and
enquiring for the purpose of investigating a phenomenon having
a real life context.

APPLICATIONS OF THE
TECHNOLOGY
There are numerous application of
the technology that has been
discussed in the paper by the
researcher and few of them are:
• The commercial shells makes use of
the technology for the development
of the EXSYS Corvid for the
Windows Operating Systems, or the
EXSYS Corvid Core for the Apple
operating system or the Mac OS ten
• It is used in providing suggestion to
the students via a web based
service known as the
www.MyMajors.com.
• The Expert systems have been
implemented in the medical
systems as well, known as the
MYCIN, for the treatment of the
bacterial infections in the people.

CONCLUSION
From the discussion it can be
concluded that:
 Expert System is considered
to be one of the well-
developed system which has
successfully reached its
maturity stage
 The development of the
present day Artificial
intelligence has been
benefited largely with the
help of the ES technology.

References:
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