Go game formal revealing by Ising model
Mat\'ias Alvarado, Arturo Yee, Carlos Villarreal

TL;DR
This paper models the game of Go using the Ising model to quantify control and predict game dynamics, achieving close alignment with actual gameplay data.
Contribution
It introduces a novel application of the Ising model to represent Go strategies and control, linking physical models with game theory.
Findings
Model accurately predicts game control dynamics
Energy functional correlates with player strength
Close fit between model predictions and real games
Abstract
Go gaming is a struggle for territory control between rival, black and white, stones on a board. We model the Go dynamics in a game by means of the Ising model whose interaction coefficients reflect essential rules and tactics employed in Go to build long-term strategies. At any step of the game, the energy functional of the model provides the control degree (strength) of a player over the board. A close fit between predictions of the model with actual games is obtained.
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Taxonomy
TopicsArtificial Intelligence in Games · Digital Games and Media · Sports Analytics and Performance
