Network dynamics-based tactic of combat for Taekwondo to identify keys patterns

Abstract

Aim: Our method of network dynamics-based stratification of combat integrates alterations at multiple levels and is independent of category and athlete type. Specifically, different fighters are described by differentially wired networks with distinct network topology resulting from their tactical action

Methods: Network dynamics of the tactical actions are analyzed by considering its attractor landscape, which consists of trajectories from all possible initial network states of the beginning combat to its attractor states and proves different situations where one or multiple tactics are inhibited. We focus on the set of attractor states that different tactics eventually reach, which correspond to specific steady states of inevitable tactics 

Results: The main objective was to measure the attractors for the network by using dynamic systems and show two principal attractors meaning dodge and direct attack are the most important techniques. 

Conclusion: Our results not only enable stratification of tactic combat into distinct response groups but also reveal the most important tactic for the network.

Keywords

• Taekwondo
• Attraction Basins
• Discrete Dynamic System

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