Auburn University.
J Appl Behav Anal. 2020 Apr;53(2):835-845. doi: 10.1002/jaba.612. Epub 2019 Jul 22.
During the opening moves of a chess game, a player (typically White) may offer a number of gambits, which involve sacrificing a chess piece for an opponent for capture to achieve long-term positional advantages. One of the most popular gambits is called the Queen's Gambit and involves White offering a pawn to Black, which will open a lane for White's Queen if accepted by Black. In the present study, the generalized matching law (GML) was applied to chess openings involving the Queen's Gambit using over 71,000 archived chess games. Overall, chess players' opening moves involving the Queen's Gambit exhibited orderly matching as predicted by the GML, and the GML accounted for more variance in players' chess decision making as their relative playing experience increased. This study provides support for the generality of the GML and its application to complex operant behavior outside of laboratory contexts.
在国际象棋比赛的开局阶段,一名棋手(通常是白方)可能会提出一些开局策略,其中包括牺牲一个棋子以换取对手的捕获,从而获得长期的位置优势。最受欢迎的开局策略之一是“后翼弃兵开局”,其中白方将一个兵让给黑方,如果黑方接受,白方的后将有一条通路。在本研究中,广义匹配律(GML)被应用于涉及后翼弃兵开局的国际象棋,使用了超过 71000 个存档的国际象棋游戏。总体而言,涉及后翼弃兵开局的棋手的开局走法表现出了与 GML 预测一致的有序匹配,并且随着棋手相对比赛经验的增加,GML 对棋手下棋决策的变化解释得更多。这项研究为 GML 的普遍性及其在实验室环境之外的复杂操作性行为中的应用提供了支持。