(Recall: In alphabeta search, at each MAX node, alpha tracks the best (so, maximum) scoreso far that MAX can get. Similarly, at each MIN node beta tracks the best (so, minimum)score so far that MIN can get.)Assume that x is a MIN node with current beta value 3 obtained by picking a childof x.Assume that minimax search now starts at child z of x, so a MAX node. If at z the alphavalue a grows so that a > ß then we can stop searching at z, since MIN can always preferchild y (with value 3) to child z (with value > a > B).( fill in the blanks) Assume that x is a MAX node with current alpha value a obtained bypicking a child y of x. Assume that minimax search now starts at child z of x, so anode. If at z the beta value B drops so that B< a then we can stop searching at z, since

I have answer this question in step 2.

(Recall: In alphabeta search, at each MAX node, alpha tracks the best (so, maximum) score so far that MAX can get. Similarly, at each MIN node beta tracks the best (so, minimum) score so far that MIN can get.) Assume that x is a MIN node with current beta value B obtained by picking a child y of x. Assume that minimax search now starts at child z of x, so a MAX node. If at z the alpha value a grows so that a > B then we can stop searching at z, since MIN can always prefer child y (with value 3) to child z (with value > a > B). ( fill in the blanks) Assume that x is a MAX node with current alpha value a obtained by picking a child y of x. Assume that minimax search now starts at child z of x, so a node. If at z the beta value 3 drops so that B < a then we can stop searching at z, since

(Recall: In alphabeta search, at each MAX node, alpha tracks the best (so, maximum) score so far that MAX can get. Similarly, at each MIN node beta tracks the best (so, minimum) score so far that MIN can get.) Assume that x is a MIN node with current beta value B obtained by picking a child y of x. Assume that minimax search now starts at child z of x, so a MAX node. If at z the alpha value a grows so that a > B then we can stop searching at z, since MIN can always prefer child y (with value 3) to child z (with value > a > B). ( fill in the blanks) Assume that x is a MAX node with current alpha value a obtained by picking a child y of x. Assume that minimax search now starts at child z of x, so a node. If at z the beta value 3 drops so that B < a then we can stop searching at z, since

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

(Recall: In alphabeta search, at each MAX node, alpha tracks the best (so, maximum) score
so far that MAX can get. Similarly, at each MIN node beta tracks the best (so, minimum)
score so far that MIN can get.)
Assume that x is a MIN node with current beta value 3 obtained by picking a child
of x.
Assume that minimax search now starts at child z of x, so a MAX node. If at z the alpha
value a grows so that a > ß then we can stop searching at z, since MIN can always prefer
child y (with value 3) to child z (with value > a > B).
( fill in the blanks) Assume that x is a MAX node with current alpha value a obtained by
picking a child y of x. Assume that minimax search now starts at child z of x, so a
node. If at z the beta value B drops so that B< a then we can stop searching at z, since

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