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

Artificial Intelligence and Search Algorithms Quiz

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University
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Hard
Manikandan M
Used 2+ times
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20 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
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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