Features of an Expert System | Cognitive Science and AI | BSc.CSIT | 4th and 5th Semester

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features of an expert systemFeatures of an Expert System | Fourth and Fifth Semester
Subject: Cognitive Science and AI | BSc.CSIT
Second Year | Tribhuvan University (TU)

Features of an Expert System : cognitive science
What are the features of a good expert system ? Although each expert system has its own particular characteristics, there are several features common to many systems. The following list from Rule-Based Expert Systems suggests seven criteria that are important prerequisites for the acceptance of an expert system .

  1. “The program should be useful.” An expert system should be developed to meet a specific need, one for which it is recognized that assistance is needed.
  2. “The program should be usable.” An expert system should be designed so that even a novice computer user finds it easy to use .
  3. “The program should be educational when appropriate.” An expert system may be used by non-experts, who should be able to increase their own expertise by using the system.
  4. “The program should be able to explain its advice.” An expert system should be able to explain the “reasoning” process that led it to its conclusions, to allow us to decide whether to accept the system’s recommendations.
  5. “The program should be able to respond to simple questions.” Because people with different levels of knowledge may use the system , an expert system should be able to answer questions about points that may not be clear to all users.
  6. “The program should be able to learn new knowledge.” Not only should an expert system be able to respond to our questions, it also should be able to ask questions to gain additional information.
  7. “The program’s knowledge should be easily modified.” It is important that we should be able to revise the knowledge base of an expert system easily to correct errors or add new information.
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