Scribd
Upload
114 views2 pages

Gujarat Technological University

This document is an examination paper for the Fundamentals of Artificial Intelligence course at Gujarat Technological University for Winter 2022. It includes various questions covering topics such as rationality, applications of AI, algorithms, reasoning, and machine learning. The exam has a total of 70 marks and requires students to attempt all questions while making suitable assumptions.

Uploaded by

ram8401180438
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
114 views2 pages

Gujarat Technological University

This document is an examination paper for the Fundamentals of Artificial Intelligence course at Gujarat Technological University for Winter 2022. It includes various questions covering topics such as rationality, applications of AI, algorithms, reasoning, and machine learning. The exam has a total of 70 marks and requires students to attempt all questions while making suitable assumptions.

Uploaded by

ram8401180438
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 2

Seat No.: ________ Enrolment No.

___________

GUJARAT TECHNOLOGICAL UNIVERSITY


BE - SEMESTER–V (NEW) EXAMINATION – WINTER 2022
Subject Code:3154202 Date:06-01-2023
Subject Name:Fundamentals of Artificial Intelligence
Time:10:30 AM TO 01:00 PM Total Marks:70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
4. Simple and non-programmable scientific calculators are allowed.
MARKS
Q.1 (a) Explain concept of rationality in brief. 03
(b) State applications of artificial intelligence. Discuss any two applications 04
in brief.
(c) Write and explain A* algorithm. 07

Q.2 (a) Explain local maxima, plateau and ridge in brief. 03


(b) Compare and contrast Breath first search and Depth first search method. 04
(c) Consider the following facts: 07
* Jishaa only likes easy courses.
* ABC courses are hard.
* All the courses in XYZ department are easy.
* CS101 is a XYZ course.
Use resolution to answer the question,”What course would Jishaa like?”
OR
(c) What is nonmonotonic reasoning? Explain logics for nonmonotonic 07
reasoning

Q.3 (a) Discuss Bays’ theorem. 03


(b) Give the difference between procedural knowledge and declarative 04
knowledge.
(c) Describe the use of Natural Language Processing in Sentiment Analysis 07
with suitable example.
OR
Q.3 (a) Discuss Dempster-Shafer Theory 03
(b) Give the difference between forward reasoning and backward 04
reasoning.
(c) Describe various phases of Natural Language Processing. 07

Q.4 (a) Draw architecture of Fuzzy Logic Control. 03


(b) Explain various types of Machine Learning. 04
(c) Explain various de-fuzzification methods 07
OR
Q.4 (a) Define the fuzzy set theory. How fuzzy sets are different from 03
conventional sets?
(b) Explain over-fitting problem in brief. 04
(c) What is membership function? Explain features of membership function 07
with suitable example.

1
Q.5 (a) Explain advantages of Artificial Neural Networks. 03
(b) Discuss decision tree learning with suitable example. 04
(c) Explain Backpropagation algorithm in Artificial Neural Network. 07
OR
Q.5 (a) Write a short note on perceptron neural network, 03
(b) Discuss K-fold cross validation method with suitable 04
example.
(c) Discuss various activation functions used in Artificial Neural Network. 07

*************

You might also like