A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective
Ronaldo e Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz

TL;DR
This paper proposes a taxonomy of collectible card games based on their rules, mechanics, and game modes to facilitate AI research in this challenging and popular genre.
Contribution
It introduces a comprehensive taxonomy of collectible card games derived from analyzing their core features for AI research purposes.
Findings
Analyzed popular collectible card games and identified key characteristics.
Developed a taxonomy categorizing games based on rules and mechanics.
Provided insights to guide future AI research in the genre.
Abstract
Collectible card games are challenging, widely played games that have received increasing attention from the AI research community in recent years. Despite important breakthroughs, the field still poses many unresolved challenges. This work aims to help further research on the genre by proposing a taxonomy of collectible card games by analyzing their rules, mechanics, and game modes from the perspective of game-playing AI research. To achieve this, we studied a set of popular games and provided a thorough discussion about their characteristics.
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Taxonomy
TopicsArtificial Intelligence in Games · Digital Games and Media · Gambling Behavior and Treatments
MethodsSoftmax · Attention Is All You Need · Sparse Evolutionary Training
