B.Sc. (Computer Science) Sem 5 Artificial Intelligence Nov 2024 Question Paper - Mumbai University | munotes

Questions asked in this paper

• N.B. (1) All questions are compulsory. (2) Figures to the right indicate marks. (3) Illustrations, in-depth answers and diagrams will be appreciated. (4) Mixing of sub-questions is not allowed.

SECTION I - Q.1 (Attempt ANY FOUR from the following) 20 Marks

1. (a) Write States, Initial States, Actions, Transition Model, Goal Test and Path Cost for 8-Queens problem.
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2. (b) Explain the concept of Depth Limited Search Strategy with suitable example.
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3. (c) Explain Episodic and Sequential properties of the Task environment along with suitable example.
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4. (d) Explain the role of Neuroscience field in the foundation of Artificial Intelligence.
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5. (e) Write short note on Model Based Agents.
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6. (f) Consider the graph given below. Use Breadth First Search Strategy to traverse by considering Node 1 as starting node and Node 10 as goal node. [Tree: 1 has children 2, 3, 4; 2 has children 5, 6; 4 has children 7, 8; 5 has children 9, 10; 7 has children 11, 12.]
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SECTION II - Q.2 (Attempt ANY FOUR from the following) 20 Marks

1. (a) What is Feed Forward Neural Network? Write note on Multi-Layer Feed Forward Neural Network.
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2. (b) What is Regularization? Explain Ridge Regression Technique.
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3. (c) How does Polynomial Regression model non-linear relationships in data? Why is it effective?
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4. (d) Explain the architecture of Fuzzy Logic System.
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5. (e) Write a short note on Gradient Descent.
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6. (f) What is Reasoning in Artificial Intelligence? Explain Inductive Reasoning with suitable example.
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SECTION III - Q.3 (Attempt ANY FOUR from the following) 20 Marks

1. (a) Explain the concept of Unsupervised Learning.
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2. (b) Write note on Naive Bayes Model.
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3. (c) Explain the concept of Hidden Markov Model.
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4. (d) Explain the concept of Q-Learning.
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5. (e) Write a short note on Statistical Learning.
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6. (f) Consider the database given below. [T1: Butter, Curd, Jam; T2: Butter, Curd, Jam, Cake; T3: Curd, Jam, Nuts; T4: Butter, Jam, Cake, Nuts; T5: Cake, Nuts.] Calculate: (i) Support (Butter) (ii) Support (Curd, Jam) (iii) Confidence (Butter, Jam) (iv) Confidence (Jam, Nuts) (v) Lift (Curd, Jam)
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SECTION IV - Q.4 (Attempt ANY FIVE from the following) 15 Marks

1. (a) Write PEAS for Refinery Controller and Satellite Image Analysis System.
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2. (b) Explain Thinking Rationally approach of AI.
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3. (c) Explain the concept of hyperplane and margin with respect to Support Vector Machine.
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4. (d) What is Universal Quantifier? Give example of it.
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5. (e) Explain the concept of Active Reinforcement Learning.
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6. (f) What is Market Basket Analysis?
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Read from the scan above, so a character or two may differ. The scan is the original.