Download JNTUA MCA 2017 Nov Reg-Supply 4th Sem 9F00405c Artificial Intelligence Question Paper

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Code: 9F00405c

MCA IV Semester Supplementary Examinations November/December 2017

ARTIFICIAL INTELLIGENCE

(For students admitted in 2012, 2013, 2014 & 2015 only)

Time: 3 hours Max. Marks: 60

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Answer any FIVE questions

All questions carry equal marks

1. What is the goal of AI? Explain DFS technique in detail with algorithm.
2. What is uninformed search? Prove that Breadth — first search is a special case of uniform — cost search.
3. Explain Hill climbing search strategy.

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4. Discuss stimulated annealing searching.
5. Explain with algorithm and example alpha beta pruning.
6. Explain minimax algorithm. What is the time and space complexity of minimax algorithm?
7. What are the elements of propositional logic? Write and explain generic knowledge based agents.
8. Explain in detail the connectives used in propositional-logic.

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9. Explain planning with state space search.
10. Explain partial order planning with an example.
11. Draw a decision tree for the problem of deciding whether to move forward at a road intersection, given that the light has just turned-green.
12. We never test the same attribute twice along one path in a decision tree? Why?
13. What is expert system? List the advantages and limitations of expert systems.

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14. Discuss artificial neural-network systems.
15. Explain the stages in the development of an expert system.
16. Discuss expert system life cycle.

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