we concretize the game tree algorithms with an iterator abstraction. In this exercise use the following state changing functions instead: move(v) Iterates all the possible moves from node v of player label(v) and returns nil when they are exhausted. apply(v, m) Returns the successor node of v for move m. cancel(u, m) Yields the parent node of u when move m is taken back. You can assume that a move is reversible (i.e. v = cancel(apply(v, m), m))

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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we concretize the game tree algorithms with an iterator abstraction.
In this exercise use the following state changing functions instead:
move(v) Iterates all the possible moves from node v of player
label(v) and returns nil when they are exhausted.
apply(v, m) Returns the successor node of v for move m.
cancel(u, m) Yields the parent node of u when move m is taken back.
You can assume that a move is reversible (i.e. v = cancel(apply(v, m), m))

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