A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 41 references that are in the map. First posted on arXiv 8 Oct 2024.
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References · 12
- 2019The Many AI Challenges of Hearthstonecited by 12
- 2019Introducing the Hearthstone-AI Competitioncited by 10
- 2023Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Playcited by 10
- 2023Mastering Strategy Card Game (Hearthstone) with Improved Techniquescited by 10
- 2020AI solutions for drafting in Magic: the Gatheringcited by 8
- 2020Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genescited by 7
- 2021Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Rankingcited by 7
- 2023Summarizing Strategy Card Game AI Competitioncited by 7
- 2019Magic: The Gathering is Turing Completecited by 5
- 2017Helping AI to Play Hearthstone: AAIA'17 Data Mining Challengecited by 4
- 2020Magic: the Gathering is as Hard as Arithmeticcited by 3
- 2023Introducing Tales of Tribute AI Competitioncited by 2
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