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Interpersonal strategy for controlling unpredictable opponents in soft tennis.

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Skilled athletes use consistent behaviors to make opponents predict them, then disrupt expectations. This competitive strategy paradoxically involves cooperation, enhancing overall performance.

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Area of Science:

  • Behavioral Economics
  • Sports Science
  • Dynamical Systems Theory

Background:

  • Competition in sports differs from cooperation due to unpredictable individual actions.
  • Previous research lacked clarity on strategies used to manage unpredictability in competitive settings.

Purpose of the Study:

  • To investigate how individuals in court-based sports manage unpredictable behaviors of others.
  • To analyze the strategies employed to control unpredictable actions in competitive environments.

Main Methods:

  • Application of a switching hybrid dynamics model.
  • Inclusion of external inputs to analyze individual behaviors.
  • Analysis of human decision-making and behavior in actual matches as discrete and continuous dynamical systems.

Main Results:

  • Skilled individuals demonstrate more consistent behaviors than intermediate players.
  • Opponents anticipate skilled players' consistency and employ strategies to disrupt these expectations.
  • Competition, through active human inference, inherently involves a form of cooperation.

Conclusions:

  • Interpersonal strategies in competition can be understood through active human inference.
  • Cooperation with competitors can enhance overall competitiveness.
  • Findings offer insights for policymakers to foster cooperation and increase competitiveness in daily life.