Researching Through T-Pattern Analysis to Reduce the Triad Motor Game Complexity

Abstract

Researching the motor triad game and its strategy is to assume the huge complexity derived from ambivalence. For this reason, time was taken as a criterion through the roles and subroles transition through t-patterns analysis (TPA) for the ‘Maze' game. In parallel to the triadic specificity, there are advantages to using a methodology in accordance with the ambivalent nature through the temporal distances of the playful events. The game rules stability and the triadic complexity offer a favorable game model to use TPA because it includes the temporal parameter, allowing observation criteria to be combined and revealing statistically significant t-strings. TPA offers a time-based structuring of events with an implementation that ensures the result quality through randomization (shuffle and rotation mean), thus controlling the chance effect.