Information Dynamics Towards Serious Game
This paper is concerned with information dynamics towards serious game. This study demonstrates that the proposed methodology can provide useful information to analyze game and to predict the outcome, respectively, in terms of soccer and girl’ height based on information dynamic model. A plausible prediction method for human height has been proposed by incorporating the information dynamic model. Girl’s height at 10 years old is predicted until 25 years old, by knowing her height growth rate at starting year. It may be considered that this is a sort of breakthrough on game research: The information dynamic model has been mainly used to do post hoc analyses for the finished games, but it has also potential to predict the game outcome before the start, if initial conditions are given. As a popular and simple game, soccer has been analyzed and presented how advantage and certainty of game outcome depend on the time. In the data analyses, as evaluation function scores in addition to goal, shoot, corner kick, or penalty kick are adopted to conduct refined analyses. The game patterns have been categorized into see-saw, one-sided, balanced and others, and is defined quantitatively, to promote understanding game.
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