EXPERT SYSTEM
ARTIFICIAL INTELLIGENCE
PRESENTED BY
Pradeep Kumar Gouda
Department of Business Administration
CONTENTS
•Definition
•Characteristics
•Applications
•Advantages &
Disadvantages
•Conclusion
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.
Example
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.
Applications of Expert System
• Medical Diagnosis
• Finding out faults in vehicles, computers.
• Design Domain-Camera lens design, automobile
design.
• Virus Detection, Loan analysis
Advantages:
•Speed
• Less Error rate
•Availability
•Reducing Risk
Disadvantages:
•ES are difficult to maintain
•High development costs
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.
Thank You

Expert system.pptx

  • 1.
    EXPERT SYSTEM ARTIFICIAL INTELLIGENCE PRESENTEDBY Pradeep Kumar Gouda Department of Business Administration
  • 2.
  • 3.
    What is anExpert 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.
  • 6.
    Characteristics of ExpertSystem • 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 ExpertSystem • Medical Diagnosis • Finding out faults in vehicles, computers. • Design Domain-Camera lens design, automobile design. • Virus Detection, Loan analysis
  • 8.
    Advantages: •Speed • Less Errorrate •Availability •Reducing Risk Disadvantages: •ES are difficult to maintain •High development costs
  • 9.
    CONCLUSION Expert system isundeniably 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.