MU Electronics Engineering (Semester 7)
Artificial Intelligence
December 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) Explain Heuristic function with example.
5 M
1 (b) Explain Robot workspace.
5 M
1 (c) Describe unsupervised learning with suitable example.
5 M
1 (d) List and define kinetic parameters.
5 M

2 (a) Describe the following sensors-
i) Sonar
ii) Infrared
10 M
2 (b) Explain A* algorithm with example.
10 M

3 (a) Obtain Inverse kinematic solution for 4-axis SCARA robot.
10 M
3 (b) Compare different uniformed search strategies.
10 M

4 (a) Describe Hill climbing algorithm. What are it's limitations.
10 M
4 (b) Explain various methods of knowledges representation with example.
10 M

5 (a) Define partial order planner. Explain STRIPS representation of planning problem.
10 M
5 (b) Give steps in designing the reactive behavioral system.
10 M

6 (a) What are PEAS descriptors? Give PEAS descriptors for
i) Part-picking Robot
ii) WUMPUS world.
10 M
6 (b) Explain supervised, unsupervised and reinforcement learning with example.
10 M

Write short notes on any four:
7 (a) PROLOG
5 M
7 (b) Belief network
5 M
7 (c) Forward and inverse kinematics
5 M
7 (d) Crypt Arithmetic
5 M
7 (e) GPS
5 M
7 (f) Uniform and Inform search.
5 M



More question papers from Artificial Intelligence
SPONSORED ADVERTISEMENTS