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

Using three years of game data of the online collectible card gameHearthstone, we analyse the evolution of the game's system over the period2016--2019. By considering the frequencies that archetypes are played, andtheir corresponding win-rates, we are able to provide narratives of thesystem-wide changes that have occurred over time, and player reactions to them.Applying the archetype frequencies to analyse the system's Shannon entropy, wecharacterise the salient features of the time series of player choice. Payingparticular attention to how entropy is affected during periods of both smalland large-scale change, we are able to demonstrate the effects of increasedplayer experimentation before popular decks and tactics emerge. Furthermore,constructing conditional probabilities that simulate understandable playerbehaviour, we analyse the system's information storage and test theexplain-ability of current player choice based on previous decision-making.

Information theory and player archetype choice in Hearthstone