Adversarial Search Flashcards

(9 cards)

1
Q

What is alpha-beta pruning?

A

A search algorithm that improves Minimax by skipping branches that cannot affect the final decision, reducing computation.

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2
Q

What is alpha (α) in alpha-beta pruning?

A

The best value that the MAX player can guarantee so far.

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3
Q

What is beta (β) in alpha-beta pruning?

A

The best value that the MIN player can guarantee so far.

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4
Q

What is the pruning condition at a MAX node?

A

If α ≥ β, prune the remaining children.

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5
Q

What is the pruning condition at a MIN node?

A

If α ≥ β, prune the remaining children.

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6
Q

What does it mean to “prune” a node?

A

Skip evaluating that branch because we already know it won’t affect the outcome.

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7
Q

In the context of alpha-beta pruning, when is a node pruned?

A

When the current branch can’t possibly produce a better result than one already found.

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8
Q

What is α start value?

A

α = -∞

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9
Q

What is β start value=

A

β =+∞

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