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ProgramsBSC CSITSemester 4Artificial Intelligence 2080

BSC CSIT Semester 4 – Artificial Intelligence 2080 TU Final Exam Questions & Answers

12 Questions•75 Marks•TU

Tribhuvan University

Institute of Science and Technology

2080

Bsc CSIT / Semester 4 / Science

Computer Science and Information Technology

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.

SECTION A

Attempt any TWO question.

1

Define state space graph. Differenciate between A* search and greedy best first search.

2

What do you mean by unification and lifting ? Convert following sentences into FOPL

Sushma likes all kinds of practical courses.

AI and DBMS are practical courses.

Any subject anyone practices is practical course.

Ruby practices PHP.

Rita practices everything that Ruby practices.

Using resolution check whether “Sushma likes PHP” is inferred or not.

3

Differentiate supervised learning from unsupervised? Discuss how Naïve Bayes Model can be used for machine learning ? Support your answer with example.

SECTION B

Attempt any EIGHT question.

4

How can you define AI from the dimension of behavioural process? When a machine is said to pass Turing Test?

5

What is an agent ? How utility agent works? Give an example of utility agent.

6

What is game search? How minmax search used in game playing ? Illustrate with an example.

7

What is semantic network? Given following knowledge base, represent it using semantic network

Subash is a student. All students are person. Person has hair. Ram is a player.All player play game. Game is a physical action. Height of all players is larger than the height of all student. Physical action starts fron 7:00 AM and ends at 9:00 AM.

8

Discuss how genetic algorithm works?

9

Using your own assumptions, design PEAS framework for following intelligent agents.

a. Medicine delivery drone

b. Covid medicine prescriber.

10

What is machine vision? Describe the components of machine vision.

11

How natural language generation differs from natural language understanding ? How morphological analysisis done in NLP ?

12

What is constraint satisfaction problem? Illustrate graph coloring problem as constraint satisfaction problem.

Showing 12 questions

*** END OF QUESTION PAPER ***

Exam Years

Sample Questions

Define state space graph. Differenciate between A search and greedy best first search.

Marks: 10Chapter: Unit III: Problem Solving by Searching (9 Hrs.)

Definition: State Space Graph A state-space graph is a representation of all possible configurations (states) of a problem along with the transitions (actions) that take you from one state to anothe

What do you mean by unification and lifting ? Convert following sentences into FOPL Sushma likes all kinds of practical courses. AI and DBMS are practical courses. Any subject anyone practices is prac

Marks: 10Chapter: Unit IV: Knowledge Representation (14 Hrs.)

1. Unification and Lifting Unification - Process to make two logical expressions identical by finding a substitution for variables. - Example: Likes(Sushma, X) and Likes(Sushma, PHP) Substitution

Differentiate supervised learning from unsupervised? Discuss how Naïve Bayes Model can be used for machine learning ? Support your answer with example.

Marks: 10Chapter: Unit V: Machine Learning (9 Hrs.)

Supervised vs Unsupervised Learning 1. Supervised Learning - Data comes with input–output pairs (labeled data). - The model learns a mapping from X → Y. - Used for classification (spam/ham) or regres

How can you define AI from the dimension of behavioural process? When a machine is said to pass Turing Test?

Marks: 5Chapter: Unit I: Introduction (3 Hrs.)

AI from the Dimension of Behavioural Process From the behavioural process dimension, AI is defined based on how a machine behaves. A system is considered intelligent if it performs actions similar to

What is an agent ? How utility agent works? Give an example of utility agent.

Marks: 5Chapter: Unit II: Intelligent Agents (4 Hrs.)

What is an Agent? An agent is anything that can perceive its environment through sensors and act upon that environment using actuators to achieve specific goals. - Simply put, an agent is a system t

And more questions available on this page.

About Artificial Intelligence Past Questions

This page contains the complete 2080 TU Final examination paper for Artificial Intelligence , part of the BSC CSIT Semester 4 curriculum. All questions are from official Tribhuvan University (TU) exam papers.

How to Use This Resource

  • Practice each question thoroughly before checking the answer
  • Use the answers as reference to understand the expected format
  • Time yourself to simulate exam conditions
  • Review chapter concepts if you struggle with any question
  • Link to specific questions using #q1, #q2, etc. in the URL

Related Resources

← Back to Artificial Intelligence Chapters

Artificial Intelligence 2080 TU Final past questions with answers for BSC CSIT students in Nepal. Prepare for Tribhuvan University (TU) exams with our comprehensive question bank and model answers.

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