Download GTU BE/B.Tech 2019 Winter 8th Sem New 2180703 Artificial Intelligence Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Winter 8th Sem New 2180703 Artificial Intelligence Previous Question Paper

1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ? VIII (New) EXAMINATION ? WINTER 2019
Subject Code: 2180703 Date: 27/11/2019

Subject Name: Artificial Intelligence
Time: 02:30 PM TO 05:00 PM Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.



MARKS

Q.1 (a) Define the term ?Artificial Intelligence?. Explain how AI
techniques improve real-world problem solving.
03
(b) What is the significance of the ?Turing Test? in AI? Explain
how it is performed.
04
(c) Enlist and discuss the major task domains of Artificial
Intelligence.
07

Q.2 (a) What is meant by ?control strategy?? State the requirements
of a good control strategy.
03
(b) Explain what is meant by ?Production System? with respect
to AI. Discuss the components of a Production System.
04
(c) Explain how a problem can be analyzed based on its
characteristics. Analyze the game of ?8-Puzzle? based on
these characteristics.
07
OR
(c) Consider the Water Jug problem stated below:
Water Jug Problem: ?You are given two jugs, a 4-gallon one
and a 3-gallon one. Neither has any measuring markers on it.
There is a pump that can be used to fill the jugs with water.
How can you get exactly 2 gallons of water into the 4-gallon
jug? ?
Explain how this problem can be solved using State Space
Search. Also, give the Production Rules to solve this problem
and derive ONE feasible solution using the same.
07

Q.3 (a) Explain why it is necessary to choose appropriate
?granularity? for knowledge representation.
03
(b) Differentiate between Breadth First Search and Best First
Search.
04
(c) Explain the MiniMax search procedure for Game Playing
using suitable example. What is the significance of Alpha and
Beta cut-offs?
07
OR
Q.3 (a) What is ?iterative deepening?? How is it useful in time
constrained search?
03
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1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ? VIII (New) EXAMINATION ? WINTER 2019
Subject Code: 2180703 Date: 27/11/2019

Subject Name: Artificial Intelligence
Time: 02:30 PM TO 05:00 PM Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.



MARKS

Q.1 (a) Define the term ?Artificial Intelligence?. Explain how AI
techniques improve real-world problem solving.
03
(b) What is the significance of the ?Turing Test? in AI? Explain
how it is performed.
04
(c) Enlist and discuss the major task domains of Artificial
Intelligence.
07

Q.2 (a) What is meant by ?control strategy?? State the requirements
of a good control strategy.
03
(b) Explain what is meant by ?Production System? with respect
to AI. Discuss the components of a Production System.
04
(c) Explain how a problem can be analyzed based on its
characteristics. Analyze the game of ?8-Puzzle? based on
these characteristics.
07
OR
(c) Consider the Water Jug problem stated below:
Water Jug Problem: ?You are given two jugs, a 4-gallon one
and a 3-gallon one. Neither has any measuring markers on it.
There is a pump that can be used to fill the jugs with water.
How can you get exactly 2 gallons of water into the 4-gallon
jug? ?
Explain how this problem can be solved using State Space
Search. Also, give the Production Rules to solve this problem
and derive ONE feasible solution using the same.
07

Q.3 (a) Explain why it is necessary to choose appropriate
?granularity? for knowledge representation.
03
(b) Differentiate between Breadth First Search and Best First
Search.
04
(c) Explain the MiniMax search procedure for Game Playing
using suitable example. What is the significance of Alpha and
Beta cut-offs?
07
OR
Q.3 (a) What is ?iterative deepening?? How is it useful in time
constrained search?
03
2
(b) Differentiate between Forward Reasoning and Backward
Reasoning.
04
(c) Explain the algorithm for Steepest-Ascent Hill Climbing.
Briefly describe the situations in which hill climbing may fail
to find a solution.
07

Q.4 (a) What is a heuristic? What care should you take while
designing a heuristic function?
03
(b) Explain probabilistic inference in Bayesian Networks with
the help of a suitable example.
04
(c) Consider the following facts:
? Raghu likes all kinds of food.
? Mangoes are fruit.
? Cabbage is not fruit.
? All fruits are food.
Represent the above facts using Predicate Logic and use
Resolution to prove that ?Raghu likes Mangoes?
07
OR
Q.4 (a) Explain the difference between Boolean and Fuzzy Set
membership using a suitable example.
03
(b) Explain Problem Reduction using ?AND-OR? graph. 04
(c) What is a ?Semantic Net?? Illustrate ?property inheritance? in
Semantic Network using ?isa? and ?instance? attributes.
07

Q.5 (a) Enlist some applications of Neural Networks. 03
(b) Explain ?Morphological Analysis? and ?Syntax Analysis? in
Natural Language Processing.
04
(c) Write Prolog programs to perform the following:
i) Find the last element of a list
ii) Merge two sorted integer lists L1 and L2 to generate
a final sorted list L3.
(For example, if L1= [1,3] and L2=[2,5,8], then
L3=[1,2,3,5,8])
07
OR

Q.5 (a) State the factors which may make understanding of natural
language difficult for a computer.
03
(b) Write a note on non-monotonic reasoning. 04
(c) Demonstrate the use of ?cut? and ?fail? predicates in Prolog
with the help of a suitable example.
07

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This post was last modified on 20 February 2020