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Subject

Artificial Intelligence

The course introduces the ideas and techniques underlying the principles and design of artificial intelligent systems. The course covers the basics and applications of AI including: design of intelligent agents, problem solving, searching, knowledge representation systems, probabilistic reasoning, neural networks, machine learning and natural language processing.

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Exam Year

  • AI Question Bank 2081
  • AI-2080(new)
  • AI Model Question
  • AI Question Bank 2080
  • AI Question Bank 2079
  • AI Question Bank 2078
  • AI Question Bank 2076

Tribhuvan University

Institute of Science and Technology

2076

Bachelor Level / fourth-semester / Science

Computer Science and Information Technology( CSC266 )

Artificial Intelligence

Full Marks: 60 + 20 + 20

Pass Marks: 24 + 8 + 8

Time: 3 Hours

Candidates are required to give their answers in their own words as far as practicable.

The figures in the margin indicate full marks.

Group A

Attempt any Two questions (2x10=20)

1

Construct a state space with appropriate heuristics and local costs. Show that Greedy Best First search is not complete for the state space. Also illustrate A* is complete and guarantees solution for the same state space.

2

How resolution algorithm is used in FOPL to infer conclusion?

Consider the facts;

Anyone whom Pugu loves is a star. Any  hero who does not rehearse does not act. Anmol is a hero. Any hero who does not work does not rehearse. Anyone who does not act is not a star. Convert above into FOPL and use resolution to infer that “If Anmol does not work, then Pugu does not love Anmol”.

3

Define mathematical model of artificial neural network. Discuss how Hebbian learning algorithm can be used to train a neural network. Support your answer with an example.

Group B

Attempt any Eight questions. (8x5=40)

4

What is Ai? How can you define AI from the perspective of thought process?

5

Discuss the types of environment where an agent can work on.

6

Illustrate with an example, how uniform cost search algorithm can be used for finding goal in a state space.

7

Define frame. How knowledge is encoded in a frame? Justify with an example.

8

What do you mean by membership of an element in a fuzzy set? Given a domain of discourse X={10, 20, 30, 40, 50, 60, 70}, construct a fuzzy set from X. Use your own assumptions for defining membership.

9

Write an algorithm for learning by Genetic Approach.

10

How uncertain knowledge is represented? Given following full joint probability distribution representing probabilities of having different sizes of CD, find the probability that a CD cover has a length of 130mm given the width is 15mm.

y=Width ↓ x=Length →
129 130 131
15 0.12 0.42 0.06
16 0.08 0.28 0.04
11

How the concept of machine vision are used in Robotics to configure sensors of Robots?

12

How syntactic and semantic analysis is done during natural language processing? Explain with example.

Artificial Intelligence Question Bank Solution 2076
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