MU Artificial Intelligence - May 2015 Exam Question Paper

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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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