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Expert system (mis)

  1. 1. Title: Expert Systems Presentation By: Muhammad Aamir Roll no:03
  2. 2. Expert Systems “..An intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for their solution..” (Feigenbaum 1982)
  3. 3. Expert System Basic concept of expert system :  User supplies facts or other information to the expert system and receives expert advice or expertise in response. Internally, the expert system consists of two main components :  the knowledge-base contains the knowledge  the inference engine draws conclusions from the knowledge Expert System User Facts Expertise Inference Engine Knowledge-base
  4. 4. 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)
  5. 5. Applications of Expert Systems Peachtree: Used by accountant for making Database, Financial documents
  6. 6. Applications of Expert Systems PUFF: Medical system for diagnosis of respiratory conditions PROSPECTOR: Used by geologists to identify sites for drilling or mining
  7. 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. 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. 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. 10. Limitations of Expert Systems • 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
  11. 11. Any Queries ?

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