MU Information Technology (Semester 7)
Intelligent Systems
December 2013
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) What do you mean robot configuration? What is work space?
5 M
1 (b) Explain, in brief, reactive system.
5 M
1 (c) Describe unsupervised learning with suitable example.
5 M
1 (d) Explain screw motion. Hence descibe how screw motion involves linear and rotation transformation.
5 M

2 (a) Describe different types of environments applicable to AI agents.
10 M
2 (b) Define blind search and informed search. Hence discuss the merits and demerits of each.
10 M

3 Using DH algorithm, derive homogeneous transformation matrix for following robot.

20 M

4 (a) What is decision tree? How decision tree can be used for inference ? Give suitable example.
10 M
4 (b) What is planning ? How it defers from searching?
10 M

5 (a) Explain the structures of learning agent. What is role of critic in learning.
10 M
5 (b) Discuss various learning methods.
10 M

6 (a) Describe A* algorithm with merits and demerits.
10 M
6 (b) What is heuristics function? How will you find suitable heuristic function ? Give suitable example.
10 M

7 (a) Forward and inverse kinematics
5 M
7 (b) Sensors used in robotics system
5 M
7 (c) Belief Network
5 M
7 (d) Hill Climbing algorithm
5 M



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