Artificial Intelligence
Mastering Alpha-Beta Pruning
Test your knowledge on Artificial Intelligence with a focus on alpha-beta pruning strategies! This quiz is designed for those who are looking to enhance their understanding of search algorithms in AI.
Whether you're a student, a teacher, or simply an enthusiast, this quiz will provide:
- Insightful questions
- Score tracking
- Educational value
Which value is assigned to alpha and beta in the alpha-beta pruning?
Alpha=max
Beta=min
Beta=max
Both Alpha = max & Beta = min
Where does the values of alpha-beta search get updated?
Initial state itself
At the end
Along the path of search
None of the mentioned
Which function is used to calculate the feasibility of whole game tree?
Alpha-beta pruning
Transposition
Evaluation Function
All of the mentioned
Which search is similar to minimax search?
Hill-climbing search
Depth-first search
Breadth-first search
All of the mentioned
Which search is equal to minimax search but eliminates the branches that can’t influence the final decision?
Depth-first search
Alpha-beta pruning
Breadth-first search
None of the mentioned
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