# A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective

arXiv: https://arxiv.org/abs/2410.06299 · HTML: https://mlsanity.com/paper/2410.06299/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 12 of its 41 references that are in the map.
- First posted on arXiv 8 Oct 2024.

## Builds on (most cited first, 12 of 12)

- [The Many AI Challenges of Hearthstone](https://mlsanity.com/paper/1907.06562/) (2019)
- [Introducing the Hearthstone-AI Competition](https://mlsanity.com/paper/1906.04238/) (2019)
- [Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play](https://mlsanity.com/paper/2303.04096/) (2023)
- [Mastering Strategy Card Game (Hearthstone) with Improved Techniques](https://mlsanity.com/paper/2303.05197/) (2023)
- [AI solutions for drafting in Magic: the Gathering](https://mlsanity.com/paper/2009.00655/) (2020)
- [Evolutionary Approach to Collectible Card Game Arena Deckbuilding using Active Genes](https://mlsanity.com/paper/2001.01326/) (2020)
- [Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking](https://mlsanity.com/paper/2105.11864/) (2021)
- [Summarizing Strategy Card Game AI Competition](https://mlsanity.com/paper/2305.11814/) (2023)
- [Magic: The Gathering is Turing Complete](https://mlsanity.com/paper/1904.09828/) (2019)
- [Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge](https://mlsanity.com/paper/1708.00730/) (2017)
- [Magic: the Gathering is as Hard as Arithmetic](https://mlsanity.com/paper/2003.05119/) (2020)
- [Introducing Tales of Tribute AI Competition](https://mlsanity.com/paper/2305.08234/) (2023)

## 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.