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JNTU B.Tech III ARTIFICIAL INTELLIGENCE Previous Question Paper (February - 2023 - R16)

B.Tech | III | II | R16 | February - 2023

Answer PaperPaper Code: 136AGMaximum Marks: 75Time: 3 Hours

Note: i) Question paper consists of Part A, Part B.
ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions.
iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.

Part A

125 marks
a

Name the elements of an agent.

2 marks

Answer

The elements of an agent are sensors, which perceive the environment, and actuators, which perform actions on the environment.

b

Define Artificial Intelligence (AI).

3 marks

Answer

Artificial Intelligence is the branch of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, problem-solving, perception, and language understanding.

c

What do you mean by semantic network?

2 marks

Answer

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d

Define predicate logic.

3 marks

Answer

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e

What is an expert system?

2 marks

Answer

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f

What is the future scope of expert systems?

3 marks

Answer

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g

Define Reinforcement Learning

2 marks

Answer

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h

What do you mean by inductive learning?

3 marks

Answer

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i

What is the importance of the Natural Language Processing?

2 marks

Answer

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j

Write the significance of parsing in natural language processing.

3 marks

Answer

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Part B

210 marks
a

Explain the control strategies used to prepare production system.

5 marks

Answer

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b

What is Alpha-Beta pruning? Explain with the help of suitable example.

5 marks

Answer

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OR
3

Discuss in detail heuristic search techniques with example.

10 marks

Answer

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410 marks
a

Determine whether the following is Satisfiable, Contradictory or Valid: (P V Q) ^ ~ (P V Q)

5 marks

Answer

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b

What are the properties of a good system for the knowledge representation? Discuss.

5 marks

Answer

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OR
5

List and explain the various approaches of knowledge representation.

10 marks

Answer

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610 marks
a

Describe in detail various phases in building Expert systems.

5 marks

Answer

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b

List and explain various capabilities of the Expert System.

5 marks

Answer

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OR
7

Write a detailed note on Bayesian Belief Networks.

10 marks

Answer

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810 marks
a

List and explain the various design issues of Artificial Neural Networks.

5 marks

Answer

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b

Discuss the process of inductive learning using decision trees.

5 marks

Answer

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OR
910 marks
a

Explain in detail about Single-Layer Feed-Forward Networks with a neat sketch.

5 marks

Answer

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b

Write a detailed note on Support Vector Machines.

5 marks

Answer

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1010 marks
a

List various components of natural language understanding process.

5 marks

Answer

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b

Describe Syntactic analysis and Semantic analysis in brief.

5 marks

Answer

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OR
1110 marks
a

Write a detailed note on Universal Networking Knowledge.

5 marks

Answer

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b

Discuss the steps involved in natural language processing with an example.

5 marks

Answer

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