Minimax and alpha-beta

Choosing a move in a two-player zero-sum game: game tree, evaluation function, limited depth, minimax back-up, alpha-beta pruning and the effect of move ordering.

  • 22 cards
  • 5 topics
  • Free

The outline, topic by topic

Each topic is weighted the way the exam weighs it.

  1. Concepts
  2. Questions
  3. Sort and link
  4. The numbers
  5. Scenarios

A few cards from the deck

  • Minimax algorithm: what is it?

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    An algorithm that picks the move assuming the opponent always replies in the way best for them: the maximum is backed up at the player's nodes and the minimum at the opponent's nodes.

    A MAX root with three MIN nodes of leaves (3, 5), (2, 9) and (0, 7): the MIN nodes are worth 3, 2 and 0, the root is worth 3, and the first move is played.

  • The root is a MAX node with three MIN children, with leaves (4, 7, 6), (5, 1) and (8, 9, 2). Which move does minimax choose?

    • The first, worth 4
    • The third, because it contains the leaf 9
    • The second, because its first leaf is 5
    • The third, worth 8, its first leaf
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    The first, worth 4

    Each MIN node takes its minimum: 4, 1 and 2. The MAX root takes the largest of these minima, 4, so the first move. Looking at the best leaf forgets that the opponent chooses.

  • Alpha-beta prunes most when the … are examined first; in the best case it evaluates only on the order of the … of the number of leaves minimax does.

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    Alpha-beta prunes most when the best moves are examined first; in the best case it evaluates only on the order of the square root of the number of leaves minimax does.

    A good order sets good bounds early. In the best case, about b to the power d/2 leaves instead of b to the power d, which allows searching about twice as deep in the same time.

  • Alpha-beta pruning: what is it?

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    An improvement of minimax that stops examining a branch as soon as it can no longer change the root's value; the result is identical, with fewer leaves evaluated.

    Two bounds are kept: alpha, the best payoff already guaranteed to MAX, and beta, the best already guaranteed to MIN. As soon as beta ≤ alpha, the rest of the branch is useless.