EXPERT SYSTEMMatchmaker<br />AndheMuktiWibowo (109020726)<br />Shimaz(107071899)<br />Jamila I. Nura(108070240)<br />
Expert systems<br />John McCarthy, he defined artificial intelligence as field that gets computer to do things which when ...
Expert systems<br />Expert system applications categories:<br />Interpreting and identification<br />Planning<br />Diagnos...
                                    Expert systems<br />The structure of an expert system shows the relationship between f...
                                    Expert systems<br />Limitations of Expert systems:<br />An expert system lacks the com...
Expert System in a Matchmaker<br />The Matchmaker is an Artificial Intelligence program that helps make connections betwee...
Expert System in a Matchmaker<br />When the Matchmaker Artificial Intelligence receives a query from a user or another sof...
Implementation of Matchmaker<br />
Simulation of Matchmaker Expert System <br />The Semantic Web requires that data be not only machine readable (just like t...
Benefits of Matchmaking in Simulation<br />Time Saver<br />Personalized Service<br />Clients Benefit<br />
Advantages of Expert System<br />matchmaker provide a semantic and implemented to the web service which is semantic is the...
THE END<br />
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Expert Systems

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Expert Systems

  1. 1. EXPERT SYSTEMMatchmaker<br />AndheMuktiWibowo (109020726)<br />Shimaz(107071899)<br />Jamila I. Nura(108070240)<br />
  2. 2. Expert systems<br />John McCarthy, he defined artificial intelligence as field that gets computer to do things which when done by human can be said to involve intelligence. <br />Expert system is a designed software for problem solving which normally one or more human experts cannot solve. <br />
  3. 3. Expert systems<br />Expert system applications categories:<br />Interpreting and identification<br />Planning<br />Diagnosing<br />Debugging and testing<br />Designing<br />Instructing and training<br />Monitoring and controlling<br />Predicting<br />
  4. 4. Expert systems<br />The structure of an expert system shows the relationship between factual and heuristic knowledge, and they are based on the following levels of structures<br />Knowledge base<br />Working memory<br />Inference engine<br />
  5. 5. Expert systems<br />Limitations of Expert systems:<br />An expert system lacks the common sense found in human<br />An expert system is not creative<br />An expert system cannot adapt to changing environment on its own<br />An expert system depends on symbolic input for sensory experience<br />
  6. 6. Expert System in a Matchmaker<br />The Matchmaker is an Artificial Intelligence program that helps make connections between individual that request services and individual that provide services.<br />Monitoring and Controlling<br />Interpretation and Identification<br />
  7. 7. Expert System in a Matchmaker<br />When the Matchmaker Artificial Intelligence receives a query from a user or another software or individual, it searches its dynamic database of "advertisements" for a registered individual that can fulfill the incoming request. The Matchmaker thus serves as a liaison between an individual that requests services and an individual that can fulfill requests for services.<br />
  8. 8. Implementation of Matchmaker<br />
  9. 9. Simulation of Matchmaker Expert System <br />The Semantic Web requires that data be not only machine readable (just like the Web nowadays does), it also wants the data to be machine understandable<br />Ontology Languages<br />Service Description Languages<br />WSDL<br />UDDI<br />Agents<br />
  10. 10. Benefits of Matchmaking in Simulation<br />Time Saver<br />Personalized Service<br />Clients Benefit<br />
  11. 11. Advantages of Expert System<br />matchmaker provide a semantic and implemented to the web service which is semantic is the most important component of computer systems.<br />The web services called web semantic as well as in matchmaker, the consistency of web semantic is to be readable, understandable<br />
  12. 12. THE END<br />
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