IGNOU MCS 224 SOLVED ASSIGNMENT 2025

Ques 1.

Compare ANI, AGI and ASI, in context of AI. Also, discuss the major applications of AI.

Ques 2.

What is Turing Test? What is the Criticism to the Turing Test?

Ques 3.

Compare Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Ques 4.

What are Intelligent agents in AI? Briefly discuss the properties of Agents.

Ques 5.

Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given as follows:        

   Start State

Goal State

Ques 6.

Consider the following Minimax game tree search in which root is maximizing node and children are visited from left to right. Find the value of the root node of the game tree?

Ques 7.

Define a frame for the entity date which consists of day, month and year. each of which is a number with restrictions which are well-known. Also, a procedure named compute-day-of-week is already defined.

Ques 8.

In a class, three students tossed one coins (one each) for 3 times. Write down all the possible outcomes which can be obtained in this experiment. What is the probability of getting 2 or more than 2 heads at a time? Also find the probability of getting three tails at a time.

Ques 9.

Briefly discuss the various Ensemble Methods.

Ques 10.

Explain K-Nearest Neighbour (K-NN) classification algorithm with the help of a suitable example

Ques 11.

Using the following training dataset, apply Naïve Bayes classification algorithm to find the class of an unknown sample X = < Rainy, Cool, High, False >

Ques 12.

Explain working of SVM algorithm with the help of a suitable example.

Ques 13.

Consider the following set of data points (Year of experience salary). Find the 2^nd order polynomial y=?₀ + ?₁?_i + ?₂ ?_i ² , and using polynomial regression determine the salary when year of experience is 

Ques 14.

Write Back Propagation algorithm, and showcase its execution on a neural network of your choice (make suitable assumptions if any)

Ques 15.

Consider the two-dimensional patterns (2, 2), (3, 6), (4, 4), (5, 6), (6, 7), (7, 8), (8, 8) and (9, 10). Using the PCA Algorithm, calculate the primary component

Ques 16.

Compute the Linear Discriminant projection for the following two-dimensional dataset X1 = (x1, x2) = {(4,2), (2,1), (2,4), (3,5), (4,5)} and X2 = (x1, x2) = {(9, 9), (6, 9), (9, 6), (8, 7), (10, 9)}

Ques 17.

Compare ANI, AGI and ASI, in context of AI. Also, discuss the major applications of AI.

Ques 18.

What is Turing Test? What is the Criticism to the Turing Test?

Ques 19.

Compare Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Ques 20.

What are Intelligent agents in AI? Briefly discuss the properties of Agents. Q5: Find the minimum cost path for the 8-puzzle problem, where the start and goal state are given as follows:   

Start State

Goal State

Ques 21.

Consider the following Minimax game tree search in which root is maximizing node and children are visited from left to right. Find the value of the root node of the game tree?

Ques 22.

Define a frame for the entity date which consists of day, month and year. each of which is a number with restrictions which are well-known. Also, a procedure named compute-day-of-week is already defined.

Ques 23.

In a class, three students tossed one coins (one each) for 3 times. Write down all the possible outcomes which can be obtained in this experiment. What is the probability of getting 2 or more than 2 heads at a time? Also find the probability of getting three tails at a time.

Ques 24.

Briefly discuss the various Ensemble Methods.

Ques 25.

Explain K-Nearest Neighbour (K-NN) classification algorithm with the help of a suitable example

Ques 26.

Using the following training dataset, apply Naïve Bayes classification algorithm to find the class of an unknown sample X = < Rainy, Cool, High, False >

Ques 27.

Explain working of SVM algorithm with the help of a suitable example.

Ques 28.

Consider the following set of data points (Year of experience salary). Find the 2^nd order polynomialand using polynomial regression determine the salary w

hen year of experience is

Ques 29.

Write Back Propagation algorithm, and showcase its execution on a neural network of your choice (make suitable assumptions if any)

Ques 30.

Consider the two-dimensional patterns (2, 2), (3, 6), (4, 4), (5, 6), (6, 7), (7, 8), (8, 8) and (9, 10). Using the PCA Algorithm, calculate the primary component.

Ques 31.

Compute the Linear Discriminant projection for the following two-dimensional dataset

and

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