MU Computer Engineering (Semester 7)
Artificial Intelligence
May 2015
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) Discuss Belief network.
5 M
1 (b) Explain Heuristic function with example.
5 M
1 (c) Describe robot workspace.
5 M
1 (d) Explain Screw Transformation.
5 M

2 (a) Explain A* search with example.
10 M
2 (b) What is Uncertainty? Explain Bayesian network with example.
10 M

3 (a) Explain various methods of knowledge representation with example.
10 M
3 (b) Explain steps in problem formulation with example.
10 M

4 (a) Obtain Inverse Kinematic solution for 4-axis SCARA robot.
10 M
4 (b) Discuss various position sensors used in robots.
10 M

5 (a) Discuss partial order planning giving suitable example.
10 M
5 (b) Explain supervised, unsupervised and reinforcement learning with example.
10 M

6 (a) Explain the structure of learning agent. What is role critic in learning?
10 M
6 (b) Describe different types of environments applicable to AI agents.
10 M

Write short notes on:
7 (a) Properties of environment.
5 M
7 (b) Limitations of Hill-climbing Algorithm.
5 M
7 (c) PROLOG.
5 M
7 (d) Crypt Arithmetic.
5 M



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