STUPIDSID
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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