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3.  The type of AI developed using knowledge and experience of human experts is ______.

                    (a)  Machine Learning AI                         (b)  Super AI
                    (c)  Symbolic AI                                 (d)  Question Answer AI

                4.  The type of Machine Learning AI that makes use of labeled datasets is ______.

                    (a)  Reinforcement      (b)  Unsupervised         (c)  Supervised         (d)  Semi-supervised
             B. Fill in the blanks with the correct answer.

                1.  The field of _________ deals with the working of the brain, in both conscious and unconscious
                    processes.

                2.  The range of values in Fuzzy logic systems is between _________ and _________.

                3.  _________ is also referred to as Rule-based AI.
                4.  In  _________  learning,  the  training  data  is  collected  by  an  autonomous  AI  agent  while
                    performing goal-directed actions.


            C.  Write ‘T’ for True and ‘F’ for False statement.
                1.  Linguistics contributes towards the study of languages and communication.              _______

                2.  Expert Systems can map all possible conditions and their effects.                      _______
                3.  Supervised Learning depends on unlabeled datasets.                                     _______

                4.  Machine Learning systems can learn from their experience and mistakes.                 _______

            D.  Answer the following questions.

                1.  Describe how an Expert System works.
                2.  How is a Fuzzy Logic system different from an Expert system?
                3.  Write the factors that have made Machine Learning approach towards AI more relevant?

                4.  How is Supervised ML different from Unsupervised ML?

              Mind Stretching

              1.  A  machine  is  given  different  datasets  containing  images  of  fruits  with  their  names.  After
                 studying the datasets, the machine was correctly able to identify bananas from other fruits.
                 Which type of AI learning approach is described in this example?                     Logical Thinking
              2.  Identify and name the AI learning approach as described below:                     Critical Thinking
                  (a) Works with a small, labeled dataset and a large unlabeled dataset.

                  (b) Works on basis of goal-oriented approach to maximise the rewards related to the goal.
                  (c) Classifies the input data based on labeled datasets.
                  (d) Evaluates situations and responds according to programmed instructions.










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