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Artificial Intelligence and Search Algorithms Quiz

Authored by Manikandan M

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Artificial Intelligence and Search Algorithms Quiz
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20 questions

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1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which technique is commonly used to solve constraint satisfaction problems by systematically searching through the space of possible assignments?

Backtracking

Forward chaining

Hill climbing

Reinforcement learning

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Alpha-beta pruning is used to:

Increase the depth of the search tree.

Speed up the execution of the Minimax algorithm.

Reduce the number of nodes evaluated in the search tree.

Improve the quality of heuristic functions.

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What is the primary goal of Minimax algorithm?

Minimize the time complexity of search.

Maximize the depth of the search tree.

Determine the optimal move in a two-player game.

Minimize the number of nodes expanded during search.

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

In the context of constraint satisfaction problems, what does "arc consistency" refer to?

The number of variables involved in the problem.

The number of constraints in the problem.

Ensuring that each variable is consistent with its neighboring variables according to the constraints.

The complexity of the problem.

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which search algorithm explores paths based on a heuristic evaluation function?

Breadth-First Search

Depth-First Search

Hill Climbing

A Search*

6.

MULTIPLE SELECT QUESTION

20 sec • 1 pt

Which of the following is a characteristic of uninformed search algorithms?

They require domain-specific knowledge.

They have no additional information about the problem other than its definition.

They always guarantee finding the optimal solution.

They are slower than informed search algorithms.

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Which search algorithm is more memory-efficient?

Depth-First Search

Breadth-First Search

Depth-Limited Search

Uniform Cost Search

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