Applicaton of Expert Systems In Business

1. Applicaton of Expert Systems In
Business
Presentation By:
Soumen Manna(1861301012)
Rashmi Ranjan Sahoo(1861301015
Bikash Ranjan Mohanty(1861301019
Sameer Pradhan(1861301013

2. Expert Systems
“..An intelligent computer program
that uses knowledge and inference
procedures to solve problems that
are difficult enough to require
significant human expertise for their
solution..” (Feigenbaum 1982)

3. Expert System
Knowledge-base
Inference Engine
User
Expertise
Basic concept of expert system :
 User supplies facts or other information to the expert system
and receives expert advice or expertise in response.
Internally, the expert system consists of two main components :
 the knowledge-base contains the knowledge
 the inference engine draws conclusions from the knowledge
Expert System
Facts

4. Expert System Functionality
• Assist human expert when integrating various decisions
• Replace human expert decision making when not available
• Expert systems : programming computers
to make decisions in real-life situations (for
example, some expert systems help doctors
diagnose diseases based on symptoms)

5. Applications of Expert Systems
PROSPECTOR:
Used by geologists to
identify sites for
drilling or mining
PUFF:
Medical system
for diagnosis of
respiratory conditions

6. Components of an Expert System
• The knowledge base is the collection of facts
and rules which describe all the knowledge
about the problem domain
• The inference engine is the part of the
system that chooses which facts and rules to
apply when trying to solve the user’s query
• The user interface is the part of the system
which takes in the user’s query in a readable
form and passes it to the inference engine. It
then displays the results to the user.

7. Why use Expert Systems?
• Experts are not always
available. An expert system
can be used anywhere, any
time.
• Human experts are not
100% reliable or consistent
• Experts may not be good at
explaining decisions
• Cost effective

8. Problems with Expert Systems
• Limited domain
• Systems are not always
up to date, and don’t
learn
• No “common sense”
• Experts needed to setup
and maintain system

9. Limitations of Expert
Systems
• Limited to relatively narrow problems
• Cannot readily deal with “mixed”
knowledge
• Possibility of error
• Cannot refine own knowledge base
• Difficult to maintain
• May have high development costs
• Raise legal and ethical concerns