
Search Algorithms in AI
Authored by Dr. Sharma
Engineering
University
Used 1+ times

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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT explicitly mentioned as a type of search algorithm used in AI?
Uninformed (blind) search
Informed (heuristic) search
Quantum search
Adversarial search
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Uninformed (Blind) Search algorithms explore the search space with:
Complete knowledge of the problem's goal.
Heuristics to guide the search.
No knowledge of the problem's structure or goal.
Prioritized paths based on estimated distance.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which uninformed search strategy explores all neighbors at the current level before moving to the next?
Depth-First Search (DFS)
Uniform Cost Search
Breadth-First Search (BFS)
Bidirectional Search
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The Depth-Limited Search is a variation of which algorithm, used to prevent infinite loops?
Breadth-First Search (BFS)
Iterative Deepening Depth-First Search
Depth-First Search (DFS)
Uniform Cost Search
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which uninformed search strategy prioritizes expanding nodes with the lowest path cost?
Breadth-First Search (BFS)
Depth-First Search (DFS)
Bidirectional Search
Uniform Cost Search
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Informed (Heuristic) Search algorithms leverage what to guide the search process?
Random exploration
Problem-specific knowledge (heuristics)
Exhaustive search of all possibilities
Only the cost from the start node
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Informed (Heuristic) Search, what do heuristics estimate?
The exact cost from the start node to the current node.
The distance from a node to the goal.
The total number of nodes in the search space.
The optimal move for an opponent.
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