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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Vydáno v:Proceedings of the International Florida Artificial Intelligence Research Society Conference Ročník 34
Hlavní autoři: Chris Alvin, Michael Bowling, Shaelyn Rivers-Green, Deric Siglin, Lori Alvin
Médium: Journal Article
Jazyk:angličtina
Vydáno: LibraryPress@UF 18.04.2021
Témata:
competitive agent
linear play
magic: the gathering
mulligan algorithm
serious games
ISSN:2334-0754, 2334-0762
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Shrnutí: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.
ISSN:2334-0754
2334-0762
DOI:10.32473/flairs.v34i1.128416