The document discusses expert systems in artificial intelligence, detailing their history, components, development, applications, benefits, and limitations. It cites Dendral as the first expert system developed to aid organic chemists and highlights that expert systems emulate human decision-making through a knowledge base and inference rules. Additionally, the document mentions the growth of expert systems from the 1970s to the 1980s and their role in various applications such as planning, diagnosis, and decision-making.

1. OMega TechEd
18

2. BUSINESS INTELLIGENCE
Presented By-
Mrs. Megha Sharma
M.Sc. Computer Science, B.Ed.
 History of Expert System.
 Components of Expert System.
 Development of Expert System.
 Applications of Expert System.
 Benefits of Expert System.
 Limitations of Expert System.
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3. Expert System
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4. 1966-73
Dose of reality
1942-69
Early Enthusiasm great
expectation
1969-79
Expert System
1956
Birth Of AI
For more details refer my video on “History of Artificial Intelligence”. Link is in description box.

5. History of
Expert System
 The software program Dendral is considered the first
expert system because it automated the decision-
making process and problem-solving behavior of
organic chemists.
Its primary aim was to study hypothesis formation and
discovery in science. For that, a specific task in
science was chosen help organic chemists in
identifying unknown organic molecules, by analyzing
their mass spectra and using knowledge of chemistry.
It was done at Stanford University by Edward
Feigenbaum, Bruce G. Buchanan, Joshua Lederberg,
and Carl Djerassi, along with a team of highly creative
research associates and students.
It began in 1965 and spans approximately half the
history of AI research.
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6. Expert
System
 In artificial intelligence, an expert system is a
computer system emulating the decision-making
ability of a human expert.
Expert systems are designed to solve complex
problems by reasoning through bodies of
knowledge, represented mainly as if–then rules
rather than through conventional procedural
code.
The first expert systems were created in the
1970s and then proliferated in the 1980s.
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7. Components of
Expert Systems
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8. User
Interface
Knowledge
Base
Inference
(Rules)
Engine
Expert System
Knowledge From
an Expert
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Non-Expert User
Query
Advice

9. Development of
Expert Systems
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10. Identify
Problem
Domain
Design the
System
Develop the
Prototype
Test and
Refine the
Prototype
Develop and
Complete the
E.S
Maintain the
System
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11. Application of
Expert System
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12. The Applications of Expert System
Planning and
Scheduling
Knowledge
Publishing
Design and
Manufacturing
Decision
Making
Process
Monitoring
Diagnosis
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13. Benefits of Expert System
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14. Availability
Less Production Cost
Speed
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15. Less Error rate
Reducing Risk
Steady Response
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16. Limitations Of
Expert System
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17. OMega TechEd

18. Thanks For Watching.
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