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Artificial Intelligence




                    Notes          to examine the test data and (in a strictly limited manner) derive rules from that. Generally,
                                   expert systems are used for problems for which there is no single “correct” solution which can
                                   be encoded in a conventional algorithm. One would not write an expert system to find shortest
                                   paths through graphs, or sort data, as there are simply easier ways to do these tasks. Simple
                                   systems use simple true/false logic to evaluate data. More sophisticated systems are capable of
                                   performing at least some evaluation, taking into account real-world uncertainties, using such
                                   methods as fuzzy logic. Such sophistication is difficult to develop and still highly imperfect.

                                   Self Assessment

                                   Fill in the blanks:
                                   10.  Typically, the ....................... to be solved are of the sort that would normally be tackled by
                                       a medical or other professional.

                                   11.  Generally, expert systems  are used for problems for which there is no single  “correct”
                                       solution which can be encoded in a ....................... algorithm.

                                   13.7 ES-Shells


                                   A  shell is  a complete  development environment  for building and maintaining  knowledge-
                                   based applications. It provides a  step-by-step methodology  for a  knowledge engineer that
                                   allows the domain experts themselves to be directly involved in structuring and encoding the
                                   knowledge. Many commercial shells are available. The  ES shell is a command line interpreter
                                   developed by Byron Rakitzis and Paul Haahr, that uses a scripting language similar to the RC
                                   shell of the Plan 9 operating system. It is intended to provide a fully functional programming
                                   language as a Unix shell. The bulk of es’ development occurred in the early 1990s. A paper on an
                                   early version of the ES shell was presented at the Winter 1993 USENIX conference in San Diego.
                                   A patched version of es-0.9-beta1 which includes job control features, a precompiled binary,
                                   additional documentation, a  basic emacs  editing mode and other  contributed programs  is
                                   available: es-0.9-beta1job-control.tar.bz2. Expert Systems Shells include Software Development
                                   Packages such as:

                                      Corvd (Exsys) InstantTea
                                      K-Vision
                                      KnowledgePro
                                   If one wishes to build an expert system, one has several choices of software tool:
                                   (1)  Conventional programming languages (e.g. Pascal, C++, Java)

                                   (2)  Artificial intelligence programming languages (particularly LISP and Prolog)
                                   (3)  Expert system shells
                                      The first choice is almost certainly a bad idea.

                                      Conventional programming languages are not designed for this sort of job, and too much
                                       work is required to make the program perform in the way required.
                                      However, if it is  important to  have highly efficient software,  this might be a suitable
                                       choice.
                                      Choice (2) has the advantage:
                                   A flexible system can be built, accurately reflecting the peculiarities of the knowledge domain
                                   and system task.



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