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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
- What is the goal of AI? Explain DFS technique in detail with algorithm.
- What is uninformed search? Prove that Breadth — first search is a special case of uniform — cost search.
- Explain Hill climbing search strategy.
- Discuss stimulated annealing searching.
- Explain with algorithm and example alpha beta pruning.
- Explain minimax algorithm. What is the time and space complexity of minimax algorithm?
- What are the elements of propositional logic? Write and explain generic knowledge based agents.
- Explain in detail the connectives used in propositional-logic.
- Explain planning with state space search.
- Explain partial order planning with an example.
- 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.
- We never test the same attribute twice along one path in a decision tree? Why?
- What is expert system? List the advantages and limitations of expert systems.
- Discuss artificial neural-network systems.
- Explain the stages in the development of an expert system.
- Discuss expert system life cycle.
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This download link is referred from the post: JNTUA MCA 4th Sem last 10 year 2010-2020 Previous Question Papers (JNTU Anantapur)