lecture7 - Expert Systems and Artificial Intelligence, P. I...

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Expert Systems and  Artificial Intelligence,  P. I ISQM 474 R. Nakatsu
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Artificial Intelligence--AI The techniques and software that enable  computers to mimic human behavior in various  ways.  A major thrust in this field is to develop  computer functions associated with human  intelligence. Some types : expert systems neural networks intelligent agents genetic algorithms robotics .
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How far have we come in AI?
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Questions for thought: How do human experts reason? What makes an expert an expert? How can we use this knowledge to build  computer systems that “demonstrate”  expert problem-solving?
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An Expert System is an AI program that emulates the decision- making ability of a human expert. An expert system captures expertise from a human expert and applies it to a problem.
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People in a Expert System Domain Expert - the person who knows how to solve the problem without the aid of IT. Knowledge Engineer - the person who works with domain experts to capture knowledge they possess. The knowledge engineer builds the expert system. End User - the person who uses the expert system to solve a problem.
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Components of an Expert  System User Interface Inference Engine Knowledge Base Working Memory User facts recommendations
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KNOWLEDGE BASE - stores the domain expertise (e.g., a collection of If-Then rules). INFERENCE ENGINE - processes the domain expertise and your problem facts to reach a conclusion. WORKING MEMORY – short term memory of the expert system; contains all the facts (initial facts as well as new facts). USER INTERFACE
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lecture7 - Expert Systems and Artificial Intelligence, P. I...

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