Download PTU B.Tech 2021 Jan IT 5th Sem 78265 Artificial Intelligence Question Paper

Download PTU (Punjab Technical University) B.Tech (Bachelor of Technology) / BE (Bachelor of Engineering) 2021 January IT 5th Sem 78265 Artificial Intelligence Previous Question Paper

Roll No.
Total No. of Pages : 02
Total No. of Questions : 18
B.Tech. (IT) (Sem.?5)
ARTIFICIAL INTELLIGENCE
Subject Code : BTIT-3511-18
M.Code : 78265
Time : 3 Hrs. Max. Marks : 60
INST RUCT IONS T O CANDIDAT ES :
1 .
SECT ION-A is COMPULSORY cons is ting of TEN questions carrying TWO marks
each.
2 .
SECT ION-B c ontains F IVE questions c arrying FIVE marks eac h and s tud ents
have to atte mpt any FOUR q ues tions.
3 .
SECT ION-C contains THREE questions carrying T EN marks e ach and s tudents
have to atte mpt any T WO questio ns.
SECTION-A
Write briefly :
1)
Are there agent functions that cannot be implemented by any agent program?
2)
List the criteria to measure the performance of different search strategies.
3)
What is heuristic search?
4)
What is a rational agent?
5)
What is utility function?
6)
What is Reinforcement learning?
7)
What is conditional probability?
8)
What is uncertainty?
9)
List the factors that make reinforcement learning difficult.
10) What is a partially observable markov decision process?
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SECTION-B
11)
The n-queens problem is to place n queens on an n-by-n chessboard, such that no queen
attacks another, as per chess rules. Pose the problem as a search problem.
12)
Differentiate tree-based breadth-first and depth-first search strategies based on
completeness, time and space complexities.
13)
Using the axioms of probability, prove that any probability distribution on a discrete
random variable must sum to 1.
14)
Explain the process of decision-making using utility functions.
15)
What is meant by passive and active reinforcement learning and how do we compare the
two?
SECTION-C
16)
What is Artificial Intelligence? Explain how an AI system is different from a
conventional computing system? Discuss application areas of AI.
17)
Explain the A* search algorithm with the help of an example and also give the proof of
optimality of A*.
18)
What is Bayesian-Network? Briefly discuss how a Bayesian Network is constructed and
how inference is accomplished in a Bayesian Network.
NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any
page of Answer Sheet will lead to UMC against the Student.
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