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Unit 13: Expert System Architecture




          13.8 Keywords                                                                         Notes

          Backward Chaining: It is an inference method that can be described (in lay terms) as working
          backward from the goals.

          Baye’s Theorem: It provides us with a statistical theory of evidence which allows us to update the
          probabilities attached to certain facts in the light of new evidence. The fundamental notion is
          that of conditional probability:
          Expert Systems: It is a computer system that emulates the decision-making ability of a human
          expert.
          Inference Engine: It is computer program that tries to derive answers from a knowledge-base. It
          is the “brain” that expert systems use to reason about the information in the knowledge-base for
          the ultimate purpose of formulating new conclusions.
          Knowledge Acquisition: It is the transformation of knowledge from the form in that it is exist in
          the world into the form that it can be used by expertise systems.

          Knowledge Engineering: It is an engineering discipline that involves integrating knowledge
          into computer systems in order to solve complex problems normally requiring a high level of
          human expertise.

          13.9 Review Questions

          1.   Why do we need knowledge engineers to develop expert systems? Can we ask experts to
               develop the system by themselves?
          2.   What do you think of their approach, which developed ten separate knowledge bases and
               then put them together through knowledge fusion? What are the pros and cons of this
               approach?
          3.   For systems testing and evaluation, they used simulated data rather than real data. Why is
               this acceptable for real-time expert systems? Can you think of a better approach for system
               testing and evaluation?
          4.   What are the benefits of using knowledge acquisition tools?
          5.   What are the steps in the knowledge engineering process?

          6.   Describe the evaluation, validation, and verification of knowledge.

          Answers: Self Assessment

          1.   False                            2.   True
          3.   True                              4.  False
          5.   False                            6.   True

          7.   True                              8.  False
          9.   True                              10.  True
          11.  True                              12.  True
          13.  False                            14.  True

          15.  False                            16.  False
          17.  True                              18.  False



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