2025 question paper
Artificial intelligence
28 questions
Q1a. The Turing Test was proposed by (i) John McCarthy (ii) Alan Turing (iii) Marvin Minsky (iv) Herbert Simon20252m
Module 1: Introduction and Search Techniques
View this question on its own page →The Turing Test was proposed by
(i) John McCarthy
(ii) Alan Turing
(iii) Marvin Minsky
(iv) Herbert SimonQ1b. Weak AI is also known as (i) Narrow AI (ii) General AI (iii) Strong AI (iv) Super AI20252m
Module 1: Introduction and Search Techniques
View this question on its own page →Weak AI is also known as
(i) Narrow AI
(ii) General AI
(iii) Strong AI
(iv) Super AIQ1c. Breadth First Search is an example of (i) Informed Search (ii) Uninformed Search (iii) Heuristic Search (iv) Local Search20252m
Module 1: Introduction and Search Techniques
View this question on its own page →Breadth First Search is an example of
(i) Informed Search
(ii) Uninformed Search
(iii) Heuristic Search
(iv) Local SearchQ1d. Which algorithm is optimal and complete? (i) Depth First Search (ii) Hill Climbing (iii) A* Search (iv) Simulated Annealing20252m
Module 1: Introduction and Search Techniques
View this question on its own page →Which algorithm is optimal and complete?
(i) Depth First Search
(ii) Hill Climbing
(iii) A* Search
(iv) Simulated AnnealingQ1e. Heuristic function h(n) is used in (i) Random Search (ii) Brute Force Search (iii) Uninformed Search (iv) Informed Search20252m
Module 1: Introduction and Search Techniques
View this question on its own page →Heuristic function h(n) is used in
(i) Random Search
(ii) Brute Force Search
(iii) Uninformed Search
(iv) Informed SearchQ1f. AO* algorithm is used for solving (i) AND-OR graphs (ii) Game trees (iii) Decision trees (iv) Neural networks20252m
Module 1: Introduction and Search Techniques
View this question on its own page →AO* algorithm is used for solving
(i) AND-OR graphs
(ii) Game trees
(iii) Decision trees
(iv) Neural networksQ1g. Constraint Satisfaction Problems are usually solved using (i) Backtracking (ii) Breadth First Search (iii) A* Search (iv) Alpha-Beta Pruning20252m
Module 1: Introduction and Search Techniques
View this question on its own page →Constraint Satisfaction Problems are usually solved using
(i) Backtracking
(ii) Breadth First Search
(iii) A* Search
(iv) Alpha-Beta PruningQ1h. Which of the following is a stochastic search method? (i) Breadth First Search (ii) Particle Swarm Optimization (iii) Depth First Search (iv) A* Search20252m
Module 1: Introduction and Search Techniques
View this question on its own page →Which of the following is a stochastic search method?
(i) Breadth First Search
(ii) Particle Swarm Optimization
(iii) Depth First Search
(iv) A* SearchQ1i. Bayesian Networks are used to handle (i) Certain knowledge (ii) Uncertain knowledge (iii) Deterministic knowledge (iv) Syntax only20252m
Module 2: Knowledge Representation and Reasoning
View this question on its own page →Bayesian Networks are used to handle
(i) Certain knowledge
(ii) Uncertain knowledge
(iii) Deterministic knowledge
(iv) Syntax onlyQ1j. Neural Networks are inspired by (i) Genetic evolution (ii) Human brain (iii) Particle movement (iv) Graph theory20252m
Module 3: Machine Learning Fundamentals
View this question on its own page →Neural Networks are inspired by
(i) Genetic evolution
(ii) Human brain
(iii) Particle movement
(iv) Graph theoryQ2a. Explain what you understand by Artificial Intelligence. Describe the Turing Test in detail and discuss its significance in the field of AI.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Explain what you understand by Artificial Intelligence. Describe the Turing Test in detail and discuss its significance in the field of AI.
Q2b. Explain the concept of Rational Agents. How do they differ from Reflex Agents?20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Explain the concept of Rational Agents. How do they differ from Reflex Agents?
Q3a. Evaluate the impact of AI on employment and society.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Evaluate the impact of AI on employment and society.
Q3b. Explain Breadth First Search and Depth First Search with examples.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Explain Breadth First Search and Depth First Search with examples.
Q4a. Describe the role of heuristics in A* algorithm.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Describe the role of heuristics in A* algorithm.
Q4b. "A* algorithm is the best search technique." Do you agree? Justify your answer with reasoning.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →"A* algorithm is the best search technique." Do you agree? Justify your answer with reasoning.
Q5a. Describe Alpha-Beta Pruning. Why is it used in game playing?20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Describe Alpha-Beta Pruning. Why is it used in game playing?
Q5b. Describe the working of simulated annealing with suitable example.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Describe the working of simulated annealing with suitable example.
Q6a. Explain AO* algorithm and how it differs from A* algorithm.20257m
Module 1: Introduction and Search Techniques
View this question on its own page →Explain AO* algorithm and how it differs from A* algorithm.
Q6b. Discuss the major challenges in developing a practical Robotics system using AI.20257m
Module 4: Advanced AI Applications
View this question on its own page →Discuss the major challenges in developing a practical Robotics system using AI.
Q7a. Explain Bayesian Networks and their role in handling uncertainty.20257m
Module 2: Knowledge Representation and Reasoning
View this question on its own page →Explain Bayesian Networks and their role in handling uncertainty.
Q7b. Convert the following statements into First Order Logic: "All men are mortal. Socrates is a man."20257m
Module 2: Knowledge Representation and Reasoning
View this question on its own page →Convert the following statements into First Order Logic: "All men are mortal. Socrates is a man."
Q8a. Explain the difference between Supervised, Unsupervised, and Semi-Supervised Learning with examples.20257m
Module 3: Machine Learning Fundamentals
View this question on its own page →Explain the difference between Supervised, Unsupervised, and Semi-Supervised Learning with examples.
Q8b. Describe the architecture of a simple Artificial Neural Network. Explain the role of activation functions.20257m
Module 3: Machine Learning Fundamentals
View this question on its own page →Describe the architecture of a simple Artificial Neural Network. Explain the role of activation functions.
Q9a. Write a short note on: Natural Language Processing20257m
Module 4: Advanced AI Applications
View this question on its own page →Write a short note on:
Natural Language Processing
Q9b. Write a short note on: Expert Systems20257m
Module 4: Advanced AI Applications
View this question on its own page →Write a short note on:
Expert Systems
Q9c. Write a short note on: Deep Learning20257m
Module 3: Machine Learning Fundamentals
View this question on its own page →Write a short note on:
Deep Learning
Q9d. Write a short note on: Computer Vision20257m
Module 4: Advanced AI Applications
View this question on its own page →Write a short note on:
Computer Vision