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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.06299 |
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| _version_ | 1866915055266693120 |
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| author | Vieira, Ronaldo e Silva Tavares, Anderson Rocha Chaimowicz, Luiz |
| author_facet | Vieira, Ronaldo e Silva Tavares, Anderson Rocha Chaimowicz, Luiz |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_06299 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective Vieira, Ronaldo e Silva Tavares, Anderson Rocha Chaimowicz, Luiz Artificial Intelligence 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. |
| title | A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2410.06299 |