Date:    13 dec 2024                       Regd. No.
Sub Code:23AM3T03                                                                             MIC23
                   B. Tech III Semester Regular Examinations, Dec-2024
                                    ARTIFICIAL INTELLIGENCE
                                                      (AI&ML)
       Time: 3 hours                                                                   Max Marks: 70M
       ------------------------------------------------------------------------------------------------------
               Note: 1. Question paper consists of two parts (Part A and Part B)
                       2. Answer all sub questions from Part A
                       3. Answer all questions from Part B with either or choice
                                                 PART – A                                     10 X 2 = 20 M
                                                                                           Marks BTL     CO
 I.   a)     Briefly Explain the history of Artificial Intelligence.                        2M    L1     CO1
      b)     Differentiate between human intelligence and machine
                                                                                             2M         L1      CO1
             intelligence.
      c)     Define uniformed search?                                                        2   M      L1      CO2
      d)     Define state-space search.                                                      2   M      L1      CO2
      e)     Explain the syntax and semantics of predicate logic.                            2   M      L1      CO3
      f)    Explain the syntax and semantics of first order logic.                           2   M      L1      CO3
      g)    Define Learning.                                                                 2   M      L1      CO4
      h)    What is supervised learning?                                                     2   M      L1      CO4
      i)    What is pruning?                                                                 2   M      L1      CO5
      j)    Write the advantages and disadvantages of expert                                            L1
                                                                                             2M                 CO5
            systems.
                                            PART – B                                             5 X 10 = 50 M
                                             UNIT – I
1.    a)    Discuss categorization of intelligent systems based on                                     L2       CO1
                                                                                             5M
            their working principle.
      b) 3. Explain the Model Based Agent with a diagram.                                    5M        L2       CO1
                                               (OR)
 2.   a)    Illustrate the properties of task environments.                                  5M        L2       CO1
      b)    Illustrate the task environment with their Performance,                                    L2       CO1
                                                                                             5M
            Environment, Actuators, Sensors (PEAS) descriptions.
                                             UNIT – II
3.    a)    Solve the water-jug problem with the capacity (5,3) and
                                                                                             10M        L2      CO2
            goal state (4,0) using DFS by writing the production rules
                                               (OR)
 4.    a)    Discuss in detail about alpha-beta pruning.                                     5M        L2       CO2
       b)    Explain A* algorithm with example                                               5M        L2       CO2
                                            UNIT – III
5.    a)     Describe the Knowledge representation issues.                                   5M        L2       CO3
      b)     Illustrate representation of knowledge using Inheritance.                       5M        L2       CO3
                                               (OR)
             Explain the concept of Constraint Propagation with an                                     L2       CO3
 6.    a)                                                                                    5M
             example.
       b)    Illustrate the concept of Rules based deduction system.                         5M        L2       CO3
                                            UNIT – IV
         ● Consider the following facts: (i) John likes anyone who
            likes playing tennis and football (ii) A is brother of B if A
 7.    a) is a male, A has father F and mother M and B has the                               5M         L3      CO4
            same mother and father as A does. Translate these facts
            into formulae in predicate logic.
       b)● Illustrate the concept of Backward Chaining.                                      5M        L3       CO4
                                               (OR)
                                                                                                  Page 1 of 2
           Differentiate between Propositional Logic vs. First Order
8.    a)                                                               5M      L2      CO5
           Logic.
      b)   Illustrate the concept of Decision trees with an example.   5M      L2      CO5
                                          UNIT – V
9.    a)● Explain about MYCIN Expert system in detail.                 10M   L2        CO5
                                            (OR)
10.   a) Briefly explain the architecture of expert systems.           5M      L2      CO5
      b) Explain the Applications of the Expert systems                5M      L2      CO5
                            *** End of the Question Paper ***
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