组合博弈和使用国际象棋的算法计算

Zhida Yin
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引用次数: 0

摘要

像国际象棋和跳棋这样的组合游戏是像国际象棋和跳棋这样的双人策略游戏,包含可以导致许多不同变化的简单移动。这些变化有不同的战略要点需要注意,例如,棋子的位置。抽象布局是组合游戏最重要的方面,因为它们标志着策略的起点。像国际象棋这样的游戏有计算机引擎,可以计算每一步棋和反应,从而得出游戏结果的结论。计算机引擎使用无监督学习来分析游戏并发现玩家所犯的错误。它从零知识开始,在数百万场比赛的过程中,它开始成为国际象棋历史上最强大的“玩家”,尽管许多高技能的国际象棋玩家可以在最高难度下轻松击败计算机。这是对国际象棋计算机思维的深入探索,它是如何思考、处理、消除坏棋,并总结出它想要走的棋的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combinatorial Games and Algorithmic Calculations Using Chess
Combinatorial games like chess and checkers are two-player strategy games like chess and checkers, containing simple moves that can result in many different variations. These variations have different strategic points to take note of, for example, the placement of the pieces. The abstract placement is the most impor-tant aspect of combinatorial games, as they mark the starting point for strategy. Games like chess have computer engines that calculate every single move and response to make a conclusion of the game’s result. The computer engine uses unsupervised learning to analyze games and spot mistakes made by the players. It starts off with zero knowledge and over the course of millions of games played, it started to become the most powerful “player” in the history of chess, though many highly skilled chess players can easily beat a computer at the high-est difficulty. This is a deep dive into the mind of a chess computer, the ways it thinks, processing, eliminating bad moves, and concluding the move it wants to make.
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