Toward a Competitive Agent Framework for Magic: The Gathering
Magic: The Gathering is a collectible card game that is traditionally a human-based game: two or more players compete with their own custom deck to eliminate their opponent(s). Magic has again surged in popularity with the release of Magic: Arena, a digital substitute for the physical card game. Wha...
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| Veröffentlicht in: | Proceedings of the International Florida Artificial Intelligence Research Society Conference Jg. 34 |
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| Hauptverfasser: | , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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LibraryPress@UF
18.04.2021
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| ISSN: | 2334-0754, 2334-0762 |
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| Abstract | Magic: The Gathering is a collectible card game that is traditionally a human-based game: two or more players compete with their own custom deck to eliminate their opponent(s). Magic has again surged in popularity with the release of Magic: Arena, a digital substitute for the physical card game. What Magic: Arena lacks is meaningful gameplay with a competitive, intelligent agent. We propose a strategy-based framework for basic decision making in Magic: The Gathering. We describe these procedures and provide experimental evidence for the effectiveness of our approach. |
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| AbstractList | Magic: The Gathering is a collectible card game that is traditionally a human-based game: two or more players compete with their own custom deck to eliminate their opponent(s). Magic has again surged in popularity with the release of Magic: Arena, a digital substitute for the physical card game. What Magic: Arena lacks is meaningful gameplay with a competitive, intelligent agent. We propose a strategy-based framework for basic decision making in Magic: The Gathering. We describe these procedures and provide experimental evidence for the effectiveness of our approach. |
| Author | Michael Bowling Chris Alvin Deric Siglin Shaelyn Rivers-Green Lori Alvin |
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| Title | Toward a Competitive Agent Framework for Magic: The Gathering |
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