Department of Psychological Sciences, Niigata University of Health and Welfare, Niigata, 950-3098, Japan.
Research Center of Health, Physical Fitness, and Sports, Nagoya University, Nagoya, 464-8601, Japan.
Sci Rep. 2024 Sep 4;14(1):20546. doi: 10.1038/s41598-024-71538-5.
Competition in sports, unlike cooperation in everyday life, does not involve a single solution because individuals aim to behave unpredictably, thereby preventing others from predicting their actions. This study determined how individuals in court-based sports attempted to control others' unpredictable behaviors, addressing the gap in previous studies regarding the lack of clarity around strategies employed by individuals in competitive situations. We achieved this by applying a switching hybrid dynamics model, considering external inputs to analyze individual behaviors. Consequently, the study indicates that skilled individuals, in contrast to intermediate players, exhibit greater consistency in their behaviors. These skilled individuals lead others to anticipate their consistency and subsequently employ strategies to disrupt these expectations. This strategy exploits the principles of active human inference, implying that competition involves cooperation. This was revealed by an analysis of both human decision-making and behavior in actual matches as discrete and continuous dynamical systems. This interpersonal strategy could assist policymakers in the field of everyday life to enhance competitiveness. This strategy enables policymakers to adopt new policies that promote cooperation with competitors, ultimately increasing competitiveness in various aspects of our daily lives.
体育竞赛不同于日常生活中的合作,因为竞赛中个体的目标是表现出不可预测性,从而防止他人预测他们的行为。本研究旨在确定在基于法庭的运动中,个体如何试图控制他人的不可预测行为,以解决先前研究中缺乏关于竞争情况下个体所采用策略的明确性的问题。我们通过应用切换混合动力学模型来实现这一点,该模型考虑了外部输入以分析个体行为。因此,该研究表明,与中级选手相比,技术熟练的选手在行为上表现出更大的一致性。这些技术熟练的选手让其他人预测到他们的一致性,然后采取策略来打破这些期望。这种策略利用了主动人类推理的原则,这意味着竞争中存在合作。这是通过对实际比赛中的人类决策和行为进行离散和连续动力系统分析得出的。这种人际策略可以帮助日常生活领域的政策制定者提高竞争力。这种策略使政策制定者能够采取新的政策来促进与竞争对手的合作,从而提高我们日常生活各个方面的竞争力。