SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
(AUTONOMOUS)
                                            Descriptive Test-I
Year & Sem: II B.Tech I-Semester                                                  Branch: CSM & CAD
              Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                     Max.Marks:30 M
                                         Answer All the Questions
                                    All Questions Carry Equal Marks
1      List and explain in detail the foundation of Artificial Intelligence.        [L2][CO1] [10M]
                                                    OR
2 a) What are the four conceptual components of a learning agent, and how           [L2][CO1] [5M]
       do they contribute to the agent's ability to improve its performance in
       unknown environments? Describe in detail.
   b) Illustrate the list of sequence done by the intelligent agent to maximize     [L3][CO1] [5M]
       the performance measure.
3      What is searching? Explain the different types of search algorithms in AI.   [L2][CO2] [10M]
                                                    OR
4      Explain Alpha-Beta Pruning algorithm in detail and apply it on the given     [L3][CO2] [10M]
       game tree illustrating the steps adapted to solve it.
5      Discuss in detail the key issues related to knowledge representation in AI [L2][CO3] [10M]
                                                    OR
6   a) Explain how logical connectives in propositional logic are represented?    [L2][CO3] [5M]
    b) Discuss predicate logic and how are they used?                             [L2][CO3] [5M]
                                                             Prepared by: Mr. B Raja Kumar, N Anitha
      SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                           (AUTONOMOUS)
                                            Descriptive Test-I
Year & Sem: II B.Tech I-Semester                                                  Branch: CSM & CAD
              Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                     Max.Marks:30 M
                                         Answer All the Questions
                                    All Questions Carry Equal Marks
1      List and explain in detail the foundation of Artificial Intelligence.        [L2][CO1] [10M]
                                                    OR
2 a) What are the four conceptual components of a learning agent, and how           [L2][CO1] [5M]
       do they contribute to the agent's ability to improve its performance in
       unknown environments? Describe in detail.
   b) Illustrate the list of sequence done by the intelligent agent to maximize     [L3][CO1] [5M]
       the performance measure.
3      What is searching? Explain the different types of search algorithms in AI.   [L2][CO2] [10M]
                                                    OR
4      Explain Alpha-Beta Pruning algorithm in detail and apply it on the given     [L3][CO2] [10M]
       game tree illustrating the steps adapted to solve it.
5      Discuss in detail the key issues related to knowledge representation in AI [L2][CO3] [10M]
                                                    OR
6   a) Explain how logical connectives in propositional logic are represented?    [L2][CO3] [5M]
    b) Discuss predicate logic and how are they used?                             [L2][CO3] [5M]
                                                             Prepared by: Mr. B Raja Kumar, N Anitha
      SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                         (AUTONOMOUS)
                                          Descriptive Test-I
Year & Sem: II B.Tech I-Semester                                                 Branch: CSM & CAD
              Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                    Max.Marks:30 M
                                      Answer All the Questions
                                  All Questions Carry Equal Marks
1 a) Illustrate any two applications of AI in real time.                           [L3][CO1] [5M]
   b) Analyze in what ways can an agent's rational behavior be influenced by       [L4][CO1] [5M]
       its performance measure, prior knowledge, actions, and percept
       sequence?
                                                  OR
2 a) State some definitions of artificial intelligence, and how can they be        [L2][CO1] [5M]
       categorized.
   b) Discuss how artificial intelligence categorized based on different           [L2][CO1] [5M]
       approaches, and what do these categories entail?
3 a) Discuss how efficient the problem reduction search helps in problem-          [L2][CO2] [5M]
       solving technique of AI.
   b) Explain in detail the Role of Adversarial Search and its algorithms in AI.   [L2][CO2] [5M]
                                                  OR
4      Explain the A* Search Algorithm in Artificial Intelligence with an          [L2][CO2] [10M]
       example.
5      Describe Knowledge representation and it’s types in AI. Explain the kind    [L4][CO3] [10M]
       of knowledge which needs to be represented in AI systems.
                                                  OR
6 a) What is a frame in the context of knowledge representation? Explain how       [L2][CO3] [5M]
       do frames help in organizing knowledge?
   b) Describe how Inheritance mechanism is used in knowledge                      [L2][CO3] [5M]
       representation.
                                                            Prepared by: Mr. B Raja Kumar, N Anitha
      SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                         (AUTONOMOUS)
                                          Descriptive Test-I
Year & Sem: II B.Tech I-Semester                                                 Branch: CSM & CAD
              Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                    Max.Marks:30 M
                                      Answer All the Questions
                                  All Questions Carry Equal Marks
1 a) Illustrate any two applications of AI in real time.                           [L3][CO1] [5M]
   b) Analyze in what ways can an agent's rational behavior be influenced by       [L4][CO1] [5M]
       its performance measure, prior knowledge, actions, and percept
       sequence?
                                                  OR
2 a) State some definitions of artificial intelligence, and how can they be        [L2][CO1] [5M]
       categorized.
   b) Discuss how artificial intelligence categorized based on different           [L2][CO1] [5M]
       approaches, and what do these categories entail?
3 a) Discuss how efficient the problem reduction search helps in problem-          [L2][CO2] [5M]
       solving technique of AI.
   b) Explain in detail the Role of Adversarial Search and its algorithms in AI.   [L2][CO2] [5M]
                                                  OR
4      Explain the A* Search Algorithm in Artificial Intelligence with an          [L2][CO2] [10M]
       example.
5      Describe Knowledge representation and it’s types in AI. Explain the kind    [L4][CO3] [10M]
       of knowledge which needs to be represented in AI systems.
                                                  OR
6 a) What is a frame in the context of knowledge representation? Explain how       [L2][CO3] [5M]
       do frames help in organizing knowledge?
   b) Describe how Inheritance mechanism is used in knowledge                      [L2][CO3] [5M]
       representation.
                                                            Prepared by: Mr. B Raja Kumar, N Anitha
          SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                               (AUTONOMOUS)
                                                Descriptive Test-I
    Year & Sem: II B.Tech I-Semester                                                  Branch: CSM & CAD
                   Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
    Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                       Max.Marks:30 M
                                            Answer All the Questions
                                       All Questions Carry Equal Marks
1         Analyze different types of agents, and explain how do they interact with their   [L4][CO1] [10M]
          environments?
                                                        OR
2    a) How do the properties of task environments influence the design and                [L1][CO1] [5M]
          performance of intelligent agents in various applications?
     b) What is PEAS framework and what are its components? Discuss with                   [L2][CO1] [5M]
          example.
3         What are Heuristic algorithms? Analyze in detail the different types of          [L4][CO2] [10M]
          Heuristic algorithms with example.
                                                        OR
4         Describe Mini-Max Algorithm in Artificial Intelligence. Solve the following      [L3][CO2] [10M]
          Game tree using Mini-Max Algorithm.
5    a) What is Knowledge? List and define the types of knowledge available.        [L1][CO3] [5M]
     b) Illustrate AI knowledge cycle with neat diagram.                            [L3][CO3] [5M]
                                                     OR
6       Describe the Techniques of knowledge representation with their advantages   [L2][CO3] [10M]
        and disadvantages.
                                                            Prepared by: Mr. B Raja Kumar, N Anitha
          SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                               (AUTONOMOUS)
                                                Descriptive Test-I
    Year & Sem: II B.Tech I-Semester                                                  Branch: CSM & CAD
                   Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
    Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                       Max.Marks:30 M
                                            Answer All the Questions
                                       All Questions Carry Equal Marks
1         Analyze different types of agents, and explain how do they interact with their   [L4][CO1] [10M]
          environments?
                                                        OR
2    a) How do the properties of task environments influence the design and                [L1][CO1] [5M]
          performance of intelligent agents in various applications?
     b) What is PEAS framework and what are its components? Discuss with                   [L2][CO1] [5M]
          example.
3         What are Heuristic algorithms? Analyze in detail the different types of          [L4][CO2] [10M]
          Heuristic algorithms with example.
                                                        OR
4         Describe Mini-Max Algorithm in Artificial Intelligence. Solve the following      [L3][CO2] [10M]
          Game tree using Mini-Max Algorithm.
5    a) What is Knowledge? List and define the types of knowledge available.        [L1][CO3] [5M]
     b) Illustrate AI knowledge cycle with neat diagram.                            [L3][CO3] [5M]
                                                     OR
6       Describe the Techniques of knowledge representation with their advantages   [L2][CO3] [10M]
        and disadvantages.
                                                            Prepared by: Mr. B Raja Kumar, N Anitha
      SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                          (AUTONOMOUS)
                                           Descriptive Test-I
Year & Sem: II B.Tech I-Semester                                                   Branch: CSM & CAD
              Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                      Max.Marks:30 M
                                        Answer All the Questions
                                   All Questions Carry Equal Marks
1      Explain the different types of agent programs and their internal structures   [L2][CO1] [10M]
       which influence the efficiency and autonomy of intelligent agents?
                                                  OR
2 a) Discuss the four components used to define a problem formally.                  [L2][CO1] [5M]
   b) Illustrate with an example what is meant by formulating problems.              [L3][CO1] [5M]
3      Describe the Hill Climbing Algorithm in Artificial Intelligence with its      [L2][CO2] [10M]
       State-space Diagram. Discuss its key features, advantages, and
       limitations.
                                                  OR
4      Describe the AO* Algorithm in Artificial Intelligence. Analyze how            [L4][CO2] [10M]
       the AO algorithm* works for given AND-OR graph
5      Analyze the different approaches to knowledge representation.           [L4][CO3] [10M]
                                                 OR
6   a) What is Constraint Propagation in AI? How Constraint Propagation        [L2][CO3] [5M]
       Works?
    b) Compare the relation between knowledge and intelligence and list        [L4][CO3] [5M]
       requirements for knowledge Representation system
                                                          Prepared by: Mr. B Raja Kumar, N Anitha
      SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
                                          (AUTONOMOUS)
                                           Descriptive Test-I
Year & Sem: II B.Tech I-Semester                                                   Branch: CSM & CAD
              Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM                                      Max.Marks:30 M
                                        Answer All the Questions
                                   All Questions Carry Equal Marks
1      Explain the different types of agent programs and their internal structures   [L2][CO1] [10M]
       which influence the efficiency and autonomy of intelligent agents?
                                                  OR
2 a) Discuss the four components used to define a problem formally.                  [L2][CO1] [5M]
   b) Illustrate with an example what is meant by formulating problems.              [L3][CO1] [5M]
3      Describe the Hill Climbing Algorithm in Artificial Intelligence with its      [L2][CO2] [10M]
       State-space Diagram. Discuss its key features, advantages, and
       limitations.
                                                  OR
4      Describe the AO* Algorithm in Artificial Intelligence. Analyze how            [L4][CO2] [10M]
       the AO algorithm* works for given AND-OR graph
5      Analyze the different approaches to knowledge representation.           [L4][CO3] [10M]
                                                 OR
6   a) What is Constraint Propagation in AI? How Constraint Propagation        [L2][CO3] [5M]
       Works?
    b) Compare the relation between knowledge and intelligence and list        [L4][CO3] [5M]
       requirements for knowledge Representation system
                                                          Prepared by: Mr. B Raja Kumar, N Anitha