Rajasthan Technical University 2009-8th Sem B.E : Electrical Engineering (B.Tech- ) Artificial Inelligence Technique - Question Paper

Friday, 24 May 2013 10:55Web

Page 1 of 4

Rajasthan tech. University kota
Electrical Engineering (B.Tech. - semester 8)
Artificial Intelligence Technique

Paper II

IV B.E. (VIII Sem.)

8202-'

IV B.E. (VIII SEMESTER) (MAIN/BACK) EXAMINATION, 2009

(New Four Year Semester Scheme)

[Branch : Electrical EngineeringJ Paper II

ARTIFICIAL INTELLIGENCE TECHNIQUES

Time Allowed : Three Hours Maximum Marks 80

(7) No supplementary answer-book will be given to any candidate. Hence the candidates should write the answer precisely in the Main answer-bouk only.

(2) All the parts of one question should be answered at one place in the answer-book One complete question should not be answered at different places in the answer-book.

Attempt any five questions.

All questions cany equal marks.

Turn u+-tr

1. (a) What is AI? Describe state space search by

Paper II

exploring water-jug problem. 8

(b) Describe Production system in detail. 8

2. Analyse the following problems with respect to seven problem characteristics:

(i) Chess

(it) Travelling salesman ,

(iii) Tower of Hanoi

(iv) Cryptarithmetic. 16

3. Assume the following facts: '

* Ram only likes easy courses,

* Engineering courses are hard,

* All the courses in humanities department are easy,

* Industrial Management is a humanities department course.

Use resolution to answer What course would Rtfm like?. 16

4: What do you mean by rule based system? Explain, giving suitable example. 16

5. What is a Perceptron? Explain single layer and multi layer architecture of Perceptrons. Also describe back propagation algorithm in this context. 16

IV BE 8202 2

6.Explain the basic, architecture of an Expert System. Also give its applicability in different areas with suitable examples. 16

-7. (a) Describe logic programming through Prolog. 8 (b) Discuss Unification Algorithm in detail. 8

8. Write short notes on any two of the following:

(i) Resolution

(ii) Hopfield network

(iii) Hill climbing search

(/V) AI applications. 8,8