MU Computer Engineering (Semester 7)
Artificial Intelligence
May 2014
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


1 (a) Describe robot workspace.
5 M
1 (b) Explain homogeneous transformation matrix.
5 M
1 (c) Discuss the heuristic function for 8-puzzle problem.
5 M
1 (d) Discuss structure of learning agent.
5 M

2 (a) Explain A* algorithm with example.
10 M
2 (b) Explain breadth first algorithm.
10 M

3 (a) Explain resolution refutation using suitable example.
10 M
3 (b) Explain backward chaining giving suitable example.
10 M

4 (a) Discuss the application of decision tree for restaurant example.
10 M
4 (b) Why uncertainty occurs in Al system? How probability theory can be applied for toothache problem?
10 M

5 (a) Using DH algorithm, derive homogeneous transformation matrix for following robot.

15 M
5 (b) Explain different types of robots.
5 M

6 (a) Discuss various position sensor used in robots.
10 M
6 (b) Discuss partial order planning giving suitable example.
10 M

Write short note on
7 (a) Limitation of Hill-Climbing algorithm.
5 M
7 (b) Predicate Logic
5 M
7 (c) Properties of environment
5 M
7 (d) Admissibility of A*
5 M



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