Download Artificial Intelligence A Review on Role of Expert System

International Journal of Recent Advances in Engineering & Technology (IJRAET)
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Artificial Intelligence
A Review on Role of Expert System in Various Fields
1
Pradyumna Pattanaik, 2Asish Ku Jena, 3Sulagna Mohanty
1,2,3
Department of Computer Science & Engineering, Centurion University of Technology & Management , Jatni, BBSR
Abstract : This paper lights up expert systems (ES)
procedures and functions and using a literature review in
order to explore how ES procedure and functions have
developed. From the first application until now, expert
systems are providing solutions to multiple problems in
fields of all types. This paper analysises and classifies ES
functions using the following four categories: rule-based
systems, knowledge-based systems, neural networks, fuzzy
expert system. Our results show gaining popularity on the
part of Fuzzy Expert Systems and Neural Expert System
Discussion is presented, demonstrate the followings future
development directions for ES procedure and applications:
(1) ES procedure are given to develop towards skill
orientation and ES applications development is a
problem-aligned domain.
(2) It is suggested that different social science techniques
could implement ES as another kind of methodology.
(3) The ability to frequently change and achieve new
understanding is the active power of ES techniques, and
should be the ES application of future works.
Keywords—Diagnosis & Troubleshooting of Devices,
Planning and Scheduling, Financial Decision Making,
Process Monitoring, Control Design and Manufacturing,
I. INTRODUCTION
Expert system in the field of Artificial Intelligence is a
computer application created to give problem related
suggestion s, solve critical problems .These were
developed by the AI community in the mid-60s. It works
on complicated computional logics .This paper has built
on the different serving areas of expert system like
Diagnosis Systems , Monitoring ,Process Control ,
Scheduling & Planning. Artificial intelligence indicates to
the capability to perform the intelligent functions of the
human brain. In the field of Ai, an ES is a computer
application that have the decision making ability like a
human expert. Expert systems are designed to solve
critical problems by reasoning about knowledge as
if–then rules rather than through conventional procedural
code. The ability of an expert system derives from its
knowledge on the particular problem. Expert system is a
wing of applied artificial intelligence. Which were
developed by the Artificial Intelligence community in the
mid-60s. An ES is a computer program that is designed to
hold the aggregate knowledge of one or more experts .
The basic idea behind ES is expertise , which is the body
of effort-specific knowledge, is sent from a human expert
to a computer. This knowledge is very important, then
stored in the computer and pc users call the computer for
some specific advice. The computer can build inferences
at a specific conclusion. Then like a human consultanty , it
gives advices as well as explains, if it needs, the logic
behind the advice and explains.
II. DIAGNOSIS & TROUBLESHOOTING OF
DEVICES
Diagnosis is concerned with the improvement of
algorithms and techniques that are capable to determine
whether the act of a system is correct. If the system is not
working correctly, the algorithm should be able to
resolve, as exactly as possible, which section of the
system is failing, and which type of error it is facing. The
calculation is based on inspection, which provide
information on the present behavior . The term Diagnosis
also specify the answer of the question of whether the
system is defective or not, and to the method of computing
the answer. This word comes from the medical
background where a diagnosis is the technique of
identifying a disease by its symptoms.
Model-based diagnosis
III. PLANNING AND SCHEDULING
Planning and Scheduling is a branch of AI that is
concerned with the understanding of action sequences,
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International Journal of Recent Advances in Engineering & Technology (IJRAET)
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commonly for execution by intelligent operator,
autonomous robots and unmanned vehicles . In fixed and
deterministic environments that can be easily shaped,
automated planning can be performed offline. Solutions
can be found and evaluated previous to execution.
However, in unknown, changing and non-deterministic
environments, the strategy often needs to be improved
online. Models & approach need to be adapted. Result
usually resort to iterative trial and error processes
commonly seen in AI.
IV. FINANCIAL DECISION MAKING
Important benefits in using an expert system are the
equality of knowledge and a possibility of its development
over time. If an expert system is used in serving help while
calculating risks of investment in a firm, then every
related parameter is treated with special care, without a
fear that some situation could be differently predicted by
various experts, or that some significant parameters
would not be taken into review. If any new parameter is
essential for a company, then it is combined to the
knowledge base and is taken into review during the
decision-making process. This type of knowledge can
forward and be improved fastly , so the knowledge bases
of such expert systems are relevant means for its control,
improvement and reusability. Financial decision making
involves decisions regarding financial related issues like
determining the correct amount of funds to employ in a
firm ,
selecting projects and capital amount analysis. Decision
Making Process
The steps in decision making process are:
• Gathering information,
• Recalling knowledge and prior experiences,
V. PROCESS MONITORING
Process monitoring is the direction of sensor
measurements to identify the state of the processes. The
machine tool operator daily performs monitoring tasks,
like visually detecting missing and broken tools and
detecting chatter from the uses sound it generates. The
state of composite process is monitored by mature signal
processing of sensor measurements that typically
involved the starting point or artificial intelligence
techniques. Process control is the direction of process
variables to regulate the processes. Machine tool
operators operates online and off-line process control by
modifying feeds and speeds to censor chatter, lunch an
emergency stop in response to a tool stopage event, and
rewrite a part program to increase the base of cut to
minimize burr formation. Below Figure clearly clarify the
advantages of process monitoring and control. A trend
toward more recurring product changes has driven
research in the fields of rearrange machining systems .
Process monitoring technology will be difficult to the very
cost-effective ramp-up of these systems, while process
control will bring options to the designer who rearrange
the machining system. Process monitoring and control
technology will have a greater effort in future machining
systems based on open architecture systems that bring the
software platform needed for the very cost effective
synthesis of this technology.
• Understanding the various sides of the issue,
• Imagining the various possibilities of actions,
• Comparing, weighing and evaluating them
• Making a choice between those alternative solutions /
actions –
• If the course of actions is complex, preparing a planning.
• Implementing the decision.
VI. CONTROL DESIGN & MANUFACTURE
One way artificial intelligence (AI) related to control
engineering is when installed software helps with specific
awareness. The embeded software algorithms looks at
feedback from a situation, then activates the decision
(closed-loop control) without human conference, or the
software recommends a perticular course of action with
human discussion (open-loop control). Let a car were left
moving in a parking garage. (Probably, within capacity of
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International Journal of Recent Advances in Engineering & Technology (IJRAET)
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the auto-start key fob, something else in the operator's
pocket or purse bymistakely started the car.) Embedded
AI coding might send a message alert to the operator's
phone 5 minutes after remote consitution without driving.
If there's no response, programming might inform the car
to shutoff after 7minutes. If the car were in a closed space
without ventilation, a CO sensor combined with an field
sensor could automatically shut down a running vehicle
(remote started or not) within a very extremly short
period, probaly saving lives. In manufacturing, a machine
moving a web-based processes may have similar specific
awareness. There may be a very perfectly good reason to
leave the machine moving when the last material runs
through the rollers and an operator is continuing in a
certain location. If the machine is ignored at that
particular moment, embedded code may starting an
orderly shutdown as the best response.
VII. CONCLUSIONS
Artificial Intelligence & the technology are one side of the
life that always interest and surprise us with the new ideas,
topics, innovations, products …etc.AI is at the centre of a
new enterprise to build computational models of
intelligence. Finally, the capability to continually change
and obtain new understanding is the power of ES
methodologies, and will be the ES application of future
works. This paper has examined some of the current
issues regarding the use of expert systems and artificial
intelligence for practitioners in various fields. The use of
AI and ES have been suggested for a wider range of uses
than is currently being research to any great extent. An
important concept of the use of ES is that it is the overall
system that is important rather than the reliance on new
and “better” techniques. A valuation system that is
approaching an expert system as inspected as an example
of how a system can work and how it can be used as a
useful tool in teaching and training.
DAV Institute of Engineering and Technology
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