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Intro Expert Systems
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Intro Expert Systems


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  • 1. Title: Expert Systems Presentation By Suresh Pakala 06M21A0556
  • 2. Expert Systems An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts
  • 3. 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)
  • 4. Applications of Expert Systems PROSPECTOR: Used by geologists to identify sites for drilling or mining PUFF: Medical system for diagnosis of respiratory conditions
  • 5. Applications of Expert Systems DESIGN ADVISOR: Gives advice to designers of processor chips MYCIN: Medical system for diagnosing blood disorders. First used in 1979
  • 6. Applications of Expert Systems DENDRAL: Used to identify the structure of chemical compounds. First used in 1965 LITHIAN: Gives advice to archaeologists examining stone tools
  • 7. 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.
  • 8. 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
  • 9. 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
  • 10. Legal and Ethical Issues
      • Who is responsible if the advice is wrong?
        • The user?
        • The domain expert?
        • The knowledge engineer?
        • The programmer of the expert system shell?
        • The company selling the software?
  • 11. Expert Systems on the Web
      • decisionscript/examples.htm
  • 12. Limitations of Expert Systems
      • Not widely used or tested
      • 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
  • 13. Any Queries ?