Artificial Intelligence - R23 - Model Paper 3

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MODEL QUESTION PAPER – 3 (Practice Paper)

(B.Tech – III Year I Sem, JNTUK R23 Syllabus)
Time: 3 Hours                                                                                                        Max. Marks: 70

SECTION – I (10 × 5 = 50 Marks)

(Answer ALL questions. Each question has (a) & (b).)

Unit – I (Introduction)

1. (a) Explain the concept of intelligent agents with examples. (5M)
(b) Discuss the nature of environments in AI. (5M)

(or)

2. (a) Explain the components of a problem-solving agent. (5M)
(b) What is autonomy in agents? Give examples. (5M)

Unit – II (Searching)

3. (a) Write about Depth-Limited Search with example. (5M)
(b) Explain Iterative Deepening Search. (5M)

(or)

4. (a) Write about the characteristics of heuristic search. (5M)
(b) Discuss the working of evaluation functions in game playing. (5M)

Unit – III (Knowledge Representation)

5. (a) Explain predicate logic with an example. (5M)
(b) Write a short note on semantic nets. (5M)

(or)

6. (a) Write short notes on rules-based deduction system. (5M)
(b) Explain Bayes’ probabilistic reasoning. (5M)

Unit – IV (Logic & Learning)

7. (a) Differentiate between propositional and first-order logic with examples. (5M)
(b) Explain forward vs backward chaining. (5M)

(or)

8. (a) What is inductive learning? Explain with example. (5M)
(b) Explain statistical learning methods. (5M)

Unit – V (Expert Systems)

9. (a) Explain the architecture of expert systems with neat diagram. (5M)
(b) Discuss the importance of knowledge acquisition in expert systems. (5M)

(or)

10. (a) Write about the XCON expert system. (5M)
(b) Write a note on applications of expert systems in real life. (5M)

SECTION – II (10 × 2 = 20 Marks)

(Answer ALL questions. Each carries 2 marks)

11. Define percept and percept sequence.
12. What is task environment?
13. Write two limitations of DFS.
14. What is problem reduction?
15. Define semantic net with example.
16. What is a knowledge representation scheme?
17. Write two advantages of resolution in logic.
18. Define explanation-based learning.
19. What is heuristics in expert systems?
20. Write any two limitations of expert systems.

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