Expert System presentation based on Artificial Intelligence

1. EXPERT SYSTEM
ARTIFICIAL INTELLIGENCE
PRESENTED BY
Pradeep Kumar Gouda
Department of Business Administration

2. CONTENTS
•Definition
•Characteristics
•Applications
•Advantages &
Disadvantages
•Conclusion

3. What is an Expert System ?
• The expert systems are the computer applications
developed to solve complex problems in a
particular domain, at the level of extra-ordinary
human intelligence and expertise.
• The concept of expert systems was developed in
the 1970s by computer scientist Edward
Feigenbaum.

5. Example

6. Characteristics of Expert System
• Can explain their reasoning or suggested decisions.
- Why recommended a certain medicine ?
• Can deal with uncertainty.
- A patient is diagnose without running all the tests.
• Possibility of error.
• Cannot refine own knowledge base.
• Difficult to maintain.
• May have high development costs.
• Can display “intelligent” behavior.
• Raise legal and ethical concerns.

7. Applications of Expert System
• Medical Diagnosis
• Finding out faults in vehicles, computers.
• Design Domain-Camera lens design, automobile
design.
• Virus Detection, Loan analysis

8. Advantages:
•Speed
• Less Error rate
•Availability
•Reducing Risk
Disadvantages:
•ES are difficult to maintain
•High development costs

9. CONCLUSION
Expert system is undeniably reliable in terms of
providing reasonable and highly valuable
decisions. Knowledge and experiences from a
human expert can lead to the critical decision-
making in achieving success.

10. Thank You