
Adversarial Search and CSP Quiz

Quiz
•
Computers
•
University
•
Easy
Manikandan M
Used 3+ times
FREE Resource
26 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main objective of adversarial search in game theory?
To minimize the opponent's score
To maximize a player's score while minimizing the opponent's advantage
To predict future game states
To increase randomness in decision-making
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the Minimax algorithm, the 'min' player tries to:
Maximize the opponent's score
Minimize their own score
Minimize the opponent's score
Maximize their own score
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of games is the Minimax algorithm most commonly used for?
Single-player games
Deterministic and two-player games
Stochastic games
Multi-agent decision-making games
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary assumption in the Minimax algorithm?
Players make random moves
Opponent always plays optimally
Game has multiple optimal solutions
Players cooperate for mutual benefit
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The complexity of the Minimax algorithm is:
O(log n)
O(n)
O(b^d)
O(n^2)
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Minimax, the depth of the search tree is:
Determined by the branching factor
Always infinite
Unimportant for evaluation
Never a factor
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Alpha-Beta pruning improves Minimax by:
Reducing the number of nodes evaluated
Increasing the depth of search
Randomly selecting nodes
Ignoring terminal states
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