Explain Min-Max method of generating the game tree.

Explain Min-Max method of generating the game tree.
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1 Answer

Answer :

Ans. The Minmax search procedure is a depth-first, depth-limited procedure. The ideas is to start at the current position & use the plausible-move generator to generate the set of possible successor positions. Now we can apply the static evaluation function to those positions & simply choose the best one.
– 1. Generate the whole game tree to leaves
– 2. Apply utility (payoff) function to leaves
– 3. Back-up values from leaves toward the root:
• a Max node computes the max of its child values
• a Min node computes the Min of its child values
– 4. When value reaches the root: choose max value and the corresponding move.
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