Year: 2013
Type: article
Abstract: Expertise is easy to identify in retrospect.It is the most expert player who wins the meet and the most proficient team that wins the playoffs.However, sometimes during play we see a masterful move that clearly separates one player from the competition.Our goal, in this work, is to identify the masterful moves or elements of expertise that predict the continuum of performance in the game of Tetris.As a first step we have collected data from a wide variety of Tetris Tournament players and used it to derive metrics of global, local, and immediate interactions.Here we present statistical models of these data and report the initial success of these models at predicting level of expertise.
Authors: John K. Lindstedt, Wayne D. Gray
Institution: Rensselaer Polytechnic Institute
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Office of Naval Research
Award: G2378004490
OpenAlex ID: W2407578944