Summary of A Taxonomy Of Collectible Card Games From a Game-playing Ai Perspective, by Ronaldo E Silva Vieira et al.
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective
by Ronaldo e Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz
First submitted to arxiv on: 8 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a taxonomy for collectible card games (CCGs) to facilitate AI research in the genre. By analyzing rules, mechanics, and game modes, the authors develop a framework for categorizing CCGs. The study focuses on popular games, providing a thorough discussion of their characteristics. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Collectible card games are popular and challenging games that have sparked interest in the AI research community. This paper tries to help researchers by creating a way to group these games together based on how they work and what players do during gameplay. The authors studied well-known games to figure out what makes them unique and shared their findings. |
