An expert system is a branch of artificial intelligence developed in the 1970s that simulates human decision-making by utilizing a knowledge base to solve complex problems in specific domains. It operates through a user interface and inference engine, providing quick and reliable results while facing limitations such as dependency on accurate information and high development costs. Applications span various fields, including finance, diagnostics, and device planning.

1. SYSTEM IN
ARTIFICIAL
INTELLIGENCE
SHIRLEY
DEBORAH B
SHREE
DHARSHINI
PRESENTATIO
N BY :

2. WHAT IS
EXPERT SYSTEM
0
1
TABLE OF CONTENTS
0
2
WORKING OF AN
EXPERT SYSTEM
0
3
0
4
COMPONENTS
0
5
BENEFITS &
LIMITATIONS
APPLICATIONS

3. 01
WHAT IS
EXPERT
SYSTEM

4. WHAT IS AN
EXPERT SYSTEM
● The expert system is a part of Al, and was
developed in the year 1970, which was the
first successful approach of artificial
intelligence.
● It solves the most complex issue as an
expert by extracting the knowledge stored
in its knowledge base.
● The system helps in decision-making for
complex problems using both facts and
heuristics like a human expert.
● It is called so because it contains the
expert knowledge of solve any complex
problem of that particular domain.

5. WHAT IS AN
EXPERT SYSTEM
● The performance of an expert system is
based on the expert's knowledge stored in
its knowledge base.
● The more knowledge stored in the KB, the
more that system improves its performance.
● These systems are designed for a specific
domain, such as medicine, science, etc .
● One of the common examples of an ES is a
suggestion of spelling errors while typing
in the Google search box.
● Some popular examples are: Dendral, Mycin,
Pxdes, CaDeT

6. 02
WORKING
OF AN
EXPERT

7. WORKING OF AN
EXPERT SYSTEM

8. The expert system provides
high performance for solving
any type of complex problem
of a specific domain with
high efficiency and accuracy.
HIGHEST LEVEL OF
EXPERTISE
HIGHLY
RESPONSIVES
It provides the result
for any complex query
within a very short
period of time.
UNDERSTANDABLE RELIABLE
It responds in a way that can
be easily understandable by
the user. It can take input
in human language and
provides the output in the
It is much reliable for
generating an efficient
and accurate output.
CHARACTERIST
ICS

9. 03
COMPONE
NTS

10. COMPONENTS
USER
INTERFACE
INFERENCE
ENGINE
KNOWLEDG
E BASE

11. It's how you interact with the
system online, like a website,
chatbot, or app.
USER
INTERFACE
INFERENCE
ENGINE
This online brain processes the
information in real-time to make
decisions.
KNOWLEDG
E BASE
It's like an online library of facts
and rules specific to a subject.

12. 04
BENEFITS &
LIMITATIONS

13. HIGH
EFFICIEN
CY
NO
EMOTION
NO
MEMORY
LIMITATIO
N
EXPERTIS
E IN
DOMANI
HIGH
SECURITY
BENIFITS

14. LIMITAT
IONS
• The response of the expert
system may get wrong if the
knowledge base contains the
wrong information.
• Like a human being, it
development costs
• Its maintenance and cannot
produce a creative output for
different scenarios. are very high.
• Knowledge acquisition
designing is much difficult. require

15. 05
APPLICATIONS

16. FINANCE
DESIGNIN
G &
MANUFAC
TURING
DOMAIN
DIAGNOSIS
AND
TROUBLES
HOOTING
DEVICE
PLANNIN
G &
SHEDULI
NG
KNOWLE
DGE
DOMAIN
APPLICATIONS

17. THANK
YOU