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Unit 13: Expert Systems and its Architecture




          choices  where some randomness was  part of the natural  system (such  as when  to throw a  Notes
          surprise pitch-out to try to trick a runner trying to steal a base) were decided based on probabilities
          supplied by Weaver or La Russa.
          Today we would simply say that “the game’s AI provided the opposing manager’s strategy.”

          Self Assessment

          Fill in the blank:
          7.   Microsoft has designed their expert system to provide solutions, advice, and suggestions
               to common errors encountered throughout using the ....................... .

          13.5 Advantages and Disadvantages


          13.5.1 Advantages

              Provides consistent answers for repetitive decisions, processes and tasks
              Holds and maintains significant levels of information

              Encourages organizations to clarify the logic of their decision-making
              Never “forgets” to ask a question, as a human might

          13.5.2 Disadvantages

              Lacks common sense needed in some decision making
              Cannot make creative responses as human expert would in unusual circumstances
              Domain experts not always able to explain their logic and reasoning

              Errors may occur in the knowledge base, and lead to wrong decisions
              Cannot adapt to changing environments, unless knowledge base is changed

          Self Assessment

          Fill in the blanks:
          8.   Expert system encourages organizations to clarify the logic of their ....................... .

          9.   Expert System lacks ....................... needed in some decision making.
          13.6 Types of Problems Solved by Expert Systems


          Expert systems are most valuable to organizations that have a high-level of know-how experience
          and expertise that cannot be easily transferred to other members. They are designed to carry the
          intelligence and information found in the intellect of experts and provide this knowledge to
          other members of the organization for problem-solving purposes. Typically, the problems to
          be solved are of the sort that would normally be tackled by a medical or other professional. Real
          experts in the problem domain (which will typically be very narrow, for instance “diagnosing
          skin conditions in human teenagers”) are asked to  provide “rules  of thumb”  on how they
          evaluate the problems, either explicitly with the aid  of experienced  systems developers,  or
          sometimes implicitly, by getting such experts to evaluate test cases and using computer programs




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