Madurai Kamraj University (MKU) 2006 M.C.A IX Elective - ARTIFICIAL INTELLIGENCE - Question Paper

Time: 3 hours Maximum: 100 marks
PART A ans ALL ques.. (8 x five = 40 marks)

1. (a) describe artificial intelligence. discuss how do AI issues differ from normal issues.
Or
(b) What is an AI technique? explain.

2. (a) describe a issue. discuss the state space representation method of a issue with an
example. Or
(b) explain A * algorithm.

3. (a) explain mini-max search procedure with examples. Or
(b) discuss the following: (i) Futility cut off (ii) Horizon effect

4. (a) define the steps involved in translating a wff to clause form. Or
(b) Write short notes on Non-monotonic Reasoning.

5. (a) provide a brief discussion on frames. Or
(b) define the components of an Expert system.

6. (a) discuss case grammars Or
(b) provide a brief note on understanding

7. (a) Write a note on procedural representation Or
(b) define concept learning.

8. (a) discuss discovery as learning. Or
(b) explain learning by analogy.

PART B (5 x 12 = 60 marks)

9. (a) explain in detail the areas of AI. Or
(b) discuss the organization of AI systems.

10. (a) what are the characteristics of a issue. Or
(b) explain the following:
(i) Production systems
(ii) Means ends analysis.

11. (a) Briefly explain the alpha beta algorithm with suitable examples illustrating the cutoffs
clearly.
Or
(b) provide a detailed account on scripts.

12. (a) Write a note on natural understanding language in general. Or
(b) discuss the use of frames and scripts in understanding.

13. (a) define Rote learning. Or
(b) discuss learning in GPS.

Earning:   Approval pending.