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Introduction to Artificial Intelligence & Expert Systems




                    Notes          this process by recreating it, then potentially enabling us to enhance it beyond our current
                                   capabilities. The main purposes of the study are to discuss the appointment of managers in
                                   enterprises through fuzzy neural network, to construct a new model for evaluation of managerial
                                   talent, and accordingly to develop a decision support system in human resource selection.
                                   Therefore, the research methods of reviewing literature, in-depth interview, questionnaire survey,
                                   and fuzzy neural network are used in the study.




                                      Task  Go through various websites for the definition of AI.


                                       !
                                     Caution Have proper knowledge of all procedure before applying the AI.

                                   Self Assessment

                                   State whether the following statements are true or false:

                                   1.  AI can be defined as “the science and engineering of making intelligent machines”.
                                   2.  Knowledge representation and knowledge engineering are central to AI research.
                                   3.  Artificial Intelligence has no branch.
                                   4.  Banks use artificial intelligence systems to organize operations, invest in stocks and manage
                                       properties.
                                   5.  AI deals with the types of problem-solving and decision-making that humans continually
                                       face in dealing with the world.
                                   1.3 Early Work in Artificial Intelligence


                                   1.3.1 Expert Systems

                                   A hierarchical control system is a form of control system in which a set of devices and governing
                                   software is arranged in a hierarchy. Intelligent agents must be able to set goals and achieve
                                   them. They need a way to visualize the future (they must have a representation of the state of the
                                   world and be able to make predictions about how their actions will change it) and be able to
                                   make choices that maximize the utility or “value” of the available choices.

                                                             Figure 1.2: A Planned System
                                                             Hierarchical Control System
                                                                    top level node
                                                                                 tasks, goals
                                                                      sensations,
                                                                       results
                                                             node                     node


                                                     sensor        actuator         sensor/actuator
                                                                       actions               actions
                                               sensations                      sensations
                                                  Controlled system, controlled process, or environment




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