Expert Systems in Artificial Intelligence with Characteristics Components and Applications is for the mid level managers giving information about what is an expert system, example of expert system, characteristics, and component. You can also know the difference between human expert vs expert system to understand the expert system in a better way for business growth. https://bit.ly/2UVw1g0

1. Expert Systems in Artificial
Intelligence with Characteristics
Components and Applications
Yo u r C o mp a n y N a me

2. 2
Expert System in Artificial Intelligence01
o What is an Expert System?
o Examples of Expert Systems
o Characteristic of Expert System
o Components of the expert system
o Conventional System vs. Expert system
o Human expert vs. expert system
o Benefits of expert systems
o Limitations of the expert system
o Applications of expert systems

3. Expert System in Artificial Intelligence
3
Knowledge
Base
Inference
Engine
User
Interface
User
(May not be an expert)
Knowledge
Engineer
Human
Expert
The Expert System in AI are computer
applications. Also, with the assistance of
this development, we will solve complex
problems. it's level of human intelligence
and expertise
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4. Examples of Expert Systems
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Expert System
User
Interface
Knowledge
Base
Inference
Engine
Non-expert
User
Knowledge from
an expert
Query
Advice
The Highest Level of Expertise
o The expert system offers the very best level of experience. It provides
efficiency, accuracy and imaginative problem-solving.
Right on Time Reaction
o An Expert System interacts during a very reasonable period of your time with the
user. the entire time must be but the time taken by an expert to urge the
foremost accurate solution for an equivalent problem.
Good Reliability
o The expert system must be reliable, and it must not make any an error.
Flexible
o It is significant that it remains flexible because it the is possessed by an
Expert system.
Effective Mechanism
o Expert System must have an efficient mechanism to administer the
compilation of the prevailing knowledge in it.
Capable of Handling Challenging Decision & Problems
o An expert system is capable of handling challenging decision problems and
delivering solutions.
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5. Characteristic of Expert System
o The system must be capable of responding at A
level of competency adequate to or better than
an expert system within the field. the
standard of the recommendation given by the
system should be during a high level integrity
and that the performance ratio should be also
very high
o The system should be designed in
such how that it's ready to perform
within alittle amount of your time , like or
better than the time taken by a
person's expert to succeed in at a
choice point. An expert system that takes
a year to succeed in a choice compared
to a person's expert’s time of
1 hour wouldn't be useful
o Expert systems use symbolic
representations for knowledge
(rules, networks or frames) and
perform their inference through
symbolic computations that
closely resemble manipulations
of tongue
Use Symbolic
Representations
Adequate Response Time
High level Performance
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o Expert systems are typically very domain specific. For ex.,
a diagnostic expert system for troubleshooting computers
must actually perform all the required data manipulation
as a person's expert would. The developer of such a
system must limit his or her scope of the system to
only what's needed to unravel the target problem. Special
tools or programming languages are often needed to
accomplish the precise objectives of the system
Domain Specificity
o The expert system must be as reliable as a
person's expert
Good Reliability
o The system should be understandable
i.e. be ready to explain the steps of
reasoning while executing. The expert
system should have an
evidence capability almost like the
reasoning ability of human experts
Understandable

6. Components of the Expert System
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Explanation
Inference
Engine
Knowledge
Base
Acquisition
Facility
User
Interface
Experts and
Knowledge
Engineers
Users
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7. Conventional System vs. Expert System
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Knowledge domain break away the mechanism processing
The program could have made an error
Not necessarily need all the input/data
Changes within the rule are often made with ease
The system can work only with the rule as a tittle
Information and processing combined during a sequential file
The program isn't wrong
Need all the input file
Changes to the program are inconvenient
The system works if it's complete
01
02
03
04
05 05
04
03
02
01
vs
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8. Human Expert vs. Expert System
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Perishable
Difficult to Transfer
Difficult to Document
Expensive, especially top notch
Add Your Text Here
Permanent
Easy to Transfer
Easy to Document
Affordable, costly to develop, but cheap to operate
Add Your Text Here
Human Experts (Artificial ) Expert Systems

9. Benefits of Expert Systems
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Fast Response
Easy to Develop and
Modify the System
Low Accessibility
Cost
Humans
Emotions are not
Affected
Error Rate are
Very Low
Data Warehousing
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10. Limitations of the Expert System
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Don’t Have Decision Making
Power Like Humans
Its Difficult to Maintain
Its Developed for a Specific Domain
Expert System is not Widely
used or Tested
Not Able to Explain the Logic
Behind the Decision
It cant Deal with the
Mixed Knowledge
Development Cost is High There are Chances of Errors
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11. Knowledge domain (Finding out the faults in vehicles, computer)
Finance/Commerce (Stock market trading, airline
scheduling cargo scheduling)
Process Control System
Repairing
Monitoring system
Medical domain (Diagnosis
system, medical operations)
Warehousing
Optimization
ShippingDesign domain (Camera lens
design,automobile design)
Applications of Expert Systems
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