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“击球时的马尔可夫模型”:棒球击球手的认知加工模型

"Markov at the bat": a model of cognitive processing in baseball batters.

作者信息

Gray Rob

机构信息

Cambridge Basic Research, Nissan Technical Center North America, Inc., USA.

出版信息

Psychol Sci. 2002 Nov;13(6):542-7. doi: 10.1111/1467-9280.00495.

Abstract

Anecdotal evidence from players and coaches indicates that cognitive processing (e.g., expectations about the upcoming pitch) plays an important role in successful baseball batting, yet this aspect of hitting has not been investigated in detail. The present study provides experimental evidence that prior expectations significantly influence the timing of a baseball swing. A two-state Markov model was used to predict the effects of pitch sequence and pitch count on batting performance. The model is a hitting strategy of switching between expectancy states using a simple set of transition rules. In a simulated batting experiment, the model provided a good fit to the hitting performance of 6 experienced college baseball players, and the estimated model parameters were highly correlated with playing level.

摘要

球员和教练的轶事证据表明,认知加工(例如,对即将到来的投球的预期)在成功的棒球击球中起着重要作用,但击球的这一方面尚未得到详细研究。本研究提供了实验证据,表明先前的预期会显著影响棒球挥棒的时机。使用双态马尔可夫模型来预测投球顺序和投球数对击球表现的影响。该模型是一种使用一组简单转换规则在预期状态之间切换的击球策略。在一项模拟击球实验中,该模型与6名经验丰富的大学棒球运动员的击球表现拟合良好,并且估计的模型参数与比赛水平高度相关。

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