Artificial Intelligence 2076 (new)

Question Paper Details
Tribhuwan University
Institute of Science and Technology
2076 (new)
Bachelor Level / Fourth Semester / Science
Computer Science and Information Technology ( CSC261 )
( Artificial Intelligence )
Full Marks: 60
Pass Marks: 24
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.

Attempt all the questions.

                                                                   Section-A

Long Answer Questions.

       Attempt any Two questions                                                                          (2x10=20)

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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.

10 marks
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Here, when search reaches at node C it stucks in loop. So we can't reach at goal node. Therefore, Greedy Best First Search is not complete for the given state space.

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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 reherse does not act. Anmol is a hero. Any hero who does not work does not reherse. 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".

10 marks
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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.

10 marks
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                                                                        Section-B

Short Answer Questions.

Attempt any Eight questions.                                                                               (8x5=40)

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

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

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

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

5 marks
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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.

5 marks
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9.  Write an algorithm for learning by Genetic Approach.

5 marks
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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.

                    

5 marks
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11.  How the concept of machine vision are used in Robotics to configure sensors of Robots?

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

5 marks
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