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A

Section A: Long Answer Questions

Attempt any TWO questions.

3 questions·10 marks each
1long10 marks

How do you relate the biological neuron (synapse, dendrite, axon) to an artificial neural network? Construct a multi-layer ANN and illustrate the back-propagation learning algorithm.

neural-networkbackpropagation
2long10 marks

Explain adversarial search. Describe the Minimax algorithm and Alpha-Beta pruning with an example game tree.

adversarial-searchminimaxalpha-beta
3long10 marks

What is an expert system? Explain its architecture, components, and the role of the inference engine and knowledge base with applications.

expert-systemknowledge-base
B

Section B: Short Answer Questions

Attempt any EIGHT questions.

9 questions·5 marks each
4short5 marks

Explain forward and backward chaining in inference.

inferencereasoning
5short5 marks

Differentiate between propositional logic and predicate logic.

logicknowledge-representation
6short5 marks

What is a semantic network? Explain with an example.

knowledge-representationsemantic-network
7short5 marks

Explain the frame-based knowledge representation scheme.

knowledge-representationframes
8short5 marks

What is an activation function? List any two activation functions.

neural-network
9short5 marks

Differentiate between supervised and unsupervised learning.

machine-learning
10short5 marks

Explain the concept of overfitting in machine learning.

machine-learning
11short5 marks

What is genetic algorithm? Explain its basic operators.

genetic-algorithm
12short5 marks

Explain the Wumpus world problem in brief.

knowledge-representationagents