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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 research due to its…

Artificial Intelligence · Computer Science 2021-04-06 Henry N. Ward , Daniel J. Brooks , Dan Troha , Bobby Mills , Arseny S. Khakhalin

In this paper, we study the problem of evaluating the addition of elements to a set. This problem is difficult, because it can, in the general case, not be reduced to unconditional preferences between the choices. Therefore, we model…

Artificial Intelligence · Computer Science 2022-04-27 Timo Bertram , Johannes Fürnkranz , Martin Müller

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 with defined rules or a…

Machine Learning · Computer Science 2018-10-10 Felipe Zilio , Marcelo Prates , Luis Lamb

A defining feature of collectable card games is the deck building process prior to actual gameplay, in which players form their decks according to some restrictions. Learning to build decks is difficult for players and models alike due to…

Artificial Intelligence · Computer Science 2024-07-15 Timo Bertram , Johannes Fürnkranz , Martin Müller

This paper presents the initial stages of a design study to develop a dashboard for visualizing gameplay data in the Commander format of Magic: The Gathering. We conducted a user-task analysis to identify requirements for such a dashboard,…

Human-Computer Interaction · Computer Science 2026-04-27 Tomás Alves , João Moreira

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…

Artificial Intelligence · Computer Science 2020-03-12 Stella Biderman

$\textit{Magic: The Gathering}$ 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 Problem, solving a…

Artificial Intelligence · Computer Science 2019-04-24 Alex Churchill , Stella Biderman , Austin Herrick

In multi-player card games such as Skat or Bridge, the early stages of the game, such as bidding, game selection, and initial card selection, are often more critical to the success of the play than refined middle- and end-game play. At the…

Artificial Intelligence · Computer Science 2025-12-18 Stefan Edelkamp

This paper presents a personalized character recommendation system for Multiplayer Online Battle Arena (MOBA) games which are considered as one of the most popular online video game genres around the world. When playing MOBA games, players…

Artificial Intelligence · Computer Science 2022-04-28 Hojoon Lee , Dongyoon Hwang , Hyunseung Kim , Byungkun Lee , Jaegul Choo

In trick-taking card games, a two-step process of state sampling and evaluation is widely used to approximate move values. While the evaluation component is vital, the accuracy of move value estimates is also fundamentally linked to how…

Artificial Intelligence · Computer Science 2019-09-12 Christopher Solinas , Douglas Rebstock , Michael Buro

Multiplayer Online Battle Arena (MOBA) games have received increasing popularity recently. In a match of such games, players compete in two teams of five, each controlling an in-game avatars, known as heroes, selected from a roster of more…

Artificial Intelligence · Computer Science 2018-06-27 Zhengxing Chen , Truong-Huy D Nguyen , Yuyu Xu , Chris Amato , Seth Cooper , Yizhou Sun , Magy Seif El-Nasr

Hero drafting is essential in MOBA game playing as it builds the team of each side and directly affects the match outcome. State-of-the-art drafting methods fail to consider: 1) drafting efficiency when the hero pool is expanded; 2) the…

Artificial Intelligence · Computer Science 2021-08-06 Sheng Chen , Menghui Zhu , Deheng Ye , Weinan Zhang , Qiang Fu , Wei Yang

Skat is a fascinating combinatorial card game, show-casing many of the intrinsic challenges for modern AI systems such as cooperative and adversarial behaviors (among the players), randomness (in the deal), and partial knowledge (due to…

Artificial Intelligence · Computer Science 2021-04-08 Stefan Edelkamp

The visual style of game elements considerably contributes to the overall experience. Aesthetics influence player appeal, while the abilities of game pieces define their in-game functionality. In this paper, we investigate how the visual…

Human-Computer Interaction · Computer Science 2025-06-24 Leonie Kallabis , Timo Bertram , Florian Rupp

We analyze the game of go from the point of view of complex networks. We construct three different directed networks of increasing complexity, defining nodes as local patterns on plaquettes of increasing sizes, and links as actual…

Physics and Society · Physics 2014-10-27 V. Kandiah , B. Georgeot , O. Giraud

The preference graph is a combinatorial representation of the structure of a normal-form game. Its nodes are the strategy profiles, with an arc between profiles if they differ in the strategy of a single player, where the orientation…

Computer Science and Game Theory · Computer Science 2025-02-07 Oliver Biggar , Iman Shames

Deck building is a crucial component in playing Collectible Card Games (CCGs). The goal of deck building is to choose a fixed-sized subset of cards from a large card pool, so that they work well together in-game against specific opponents.…

Artificial Intelligence · Computer Science 2018-06-27 Zhengxing Chen , Chris Amato , Truong-Huy Nguyen , Seth Cooper , Yizhou Sun , Magy Seif El-Nasr

The outcomes of elections, product sales, and the structure of social connections are all determined by the choices individuals make when presented with a set of options, so understanding the factors that contribute to choice is crucial. Of…

Machine Learning · Computer Science 2020-11-09 Kiran Tomlinson , Austin R. Benson

This paper deals with an improved version of the deck of the cards method to render the construction of the ratio and interval scales more `accurate'. The improvement comes from the fact that we can account for a richer and finer preference…

Optimization and Control · Mathematics 2019-04-03 Salvatore Corrente , José Rui Figueira , Salvatore Greco

Humans are capable of adjusting to changing environments flexibly and quickly. Empirical evidence has revealed that representation learning plays a crucial role in endowing humans with such a capability. Inspired by this observation, we…

Machine Learning · Computer Science 2022-05-13 Yuzhen Qin , Tommaso Menara , Samet Oymak , ShiNung Ching , Fabio Pasqualetti
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