English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Go gaming is a struggle between adversaries, black and white simple stones,and aim to control the most Go board territory for success. Rules are simplebut Go game fighting is highly intricate. Stones placement and interaction onboard is random-appearance, likewise interaction phenomena among basic elementsin physics thermodynamics, chemistry, biology, or social issues. We model theGo game dynamic employing an Ising model energy function, whose interactioncoefficients reflect the application of rules and tactics to build long-termstrategies. At any step of the game, the energy function of the model assessesthe control and strength of a player over the board. A close fit betweenpredictions of the model with actual game's scores is obtained. AlphaGocomputer is the current top Go player, but its behavior does not wholly revealthe Go gaming nature. The Ising function allows for precisely model thestochastic evolutions of Go gaming patterns, so, to advance the understandingon Go own-dynamic -beyond the player`s abilities. The analysis of the frequencyand combination of tactics shows the formation of patterns in the groups ofstones during a game, regarding the turn of each player, or if human orcomputer adversaries are confronted.

Unraveling Go gaming nature by Ising Hamiltonian and common fate graphs: tactics and statistics