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Intro Expert Systems test-me.co.uk
 

Intro Expert Systems test-me.co.uk

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    Intro Expert Systems test-me.co.uk Intro Expert Systems test-me.co.uk Presentation Transcript

    • Title: Expert Systems Presentation By Suresh Pakala 06M21A0556
    • Expert Systems An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts
    • 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)
    • Applications of Expert Systems PROSPECTOR: Used by geologists to identify sites for drilling or mining PUFF: Medical system for diagnosis of respiratory conditions
    • Applications of Expert Systems DESIGN ADVISOR: Gives advice to designers of processor chips MYCIN: Medical system for diagnosing blood disorders. First used in 1979
    • 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
    • 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.
    • 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
    • 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
    • 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?
    • Expert Systems on the Web
        • http://www.aiinc.ca/demos/whale.html
        • http://www.vanguardsw.com/ decisionscript/examples.htm
        • http://www.exsys.com/demomain.html
        • http://www.expertise2go.com/webesie/car
        • http://www.expertise2go.com/webesie/wine
    • 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
    • Any Queries ?