Artificial Intelligence - R23 - Model Paper 2
MODEL QUESTION PAPER – 2 (Practice Paper)
SECTION – I (10 × 5 = 50 Marks)
(Answer ALL questions. Each question has (a) & (b).)
Unit – I (Introduction)
1. (a) Discuss the history and foundations of Artificial Intelligence. (5M)
(b) Explain problem formulation in AI with example. (5M)
(or)
2. (a) Explain characteristics of task environments. (5M)
(b) What is an autonomous agent? Explain with example. (5M)
Unit – II (Searching)
3. (a) Compare Uninformed and Informed search strategies. (5M)
(b) Explain A* algorithm with a simple example. (5M)
(or)
4. (a) Explain AO* algorithm. (5M)
(b) Write short notes on Alpha-Beta pruning. (5M)
Unit – III (Knowledge Representation)
5. (a) Explain issues in knowledge representation. (5M)
(b) Write a short note on frames and inheritance. (5M)
(or)
6. (a) Explain constraint propagation with example. (5M)
(b) Write about Dempster-Shafer theory. (5M)
Unit – IV (Logic & Learning)
7. (a) Differentiate between propositional and first-order inference. (5M)
(b) Explain backward chaining with a neat example. (5M)
(or)
8. (a) Explain the resolution method with example. (5M)
(b) Write a short note on explanation-based learning. (5M)
Unit – V (Expert Systems)
9. (a) Discuss the roles and applications of expert systems. (5M)
(b) Explain DART expert system. (5M)
10. (a) What are expert system shells? Explain with examples. (5M)
(b) Write a short note on heuristics in expert systems. (5M)
SECTION – II (10 × 2 = 20 Marks)
(Answer ALL questions. Each carries 2 marks)
11. Define rational agent.
12. Write any two characteristics of AI problems.
13. What is hill climbing in AI?
14. Expand BFS and DFS.
15. What is logic programming?
16. Define inheritance in semantic nets.
17. What is unification in first-order logic?
18. Define decision tree learning.
19. Write two examples of expert systems.
20. Write two advantages of expert systems
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