paper-with-me

홈 › Papers

Magic: the Gathering is as Hard as Arithmetic

2020-03-11 · Stella Biderman

Magic: the Gathering is a popular and famously complicated card game about magical combat. Recently, several authors including Chatterjee and Ibsen-Jensen (2016) and Churchill, Biderman, and Herrick (2019) have investigated the computational complexity of playing Magic optimally. In this paper we show that the ``mate-in-$n$'' problem for Magic is $\Delta^0_n$-hard and that optimal play in two-player Magic is non-arithmetic in general. These results apply to how real Magic is played, can be achieved using standard-size tournament legal decks, and do not rely on stochasticity or hidden information. Our paper builds upon the construction that Churchill, Biderman, and Herrick (2019) used to show that this problem was at least as hard as the halting problem.

📄 PDF Abstract BibTeX arXiv:2003.05119

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Magic: The Gathering is Turing Complete

2019-03-24 · Alex Churchill, Stella Biderman, Austin Herrick

$\textit{Magic: The Gathering}$ is a popular and famously complicated trading card game about magical combat. In this paper we show that optimal play in real-world $\textit{Magic}$ is at least as hard as the Halting Prob…

Predicting Human Card Selection in Magic: The Gathering with Contextual Preference Ranking

2021-05-25 · Timo Bertram, Johannes Fürnkranz, Martin Müller

Drafting, i.e., the selection of a subset of items from a larger candidate set, is a key element of many games and related problems. It encompasses team formation in sports or e-sports, as well as deck selection in many …

Card Games

Neural Networks Models for Analyzing Magic: the Gathering Cards

2018-10-08 · Felipe Zilio, Marcelo Prates, Luis Lamb

Historically, games of all kinds have often been the subject of study in scientific works of Computer Science, including the field of machine learning. By using machine learning techniques and applying them to a game wit…

BIG-bench Machine LearningCard GamesText Matching

Predicting Drafted Deck Strength for "Magic: the Gathering"

2026-07-06 · Tomas Rigaux, Hisashi Kashima arxiv

Many real-world games do not admit a fixed, compact rule set: instead, their dynamics are defined by interactions among a large and often evolving collection of game pieces, making general-purpose policy learning impract…

AI solutions for drafting in Magic: the Gathering

2020-09-01 · Henry N. Ward, Daniel J. Brooks, Dan Troha, Bobby Mills 외

Drafting in Magic the Gathering is a sub-game within a larger trading card game, where several players progressively build decks by picking cards from a common pool. Drafting poses an interesting problem for game and AI …