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$\textit{Magic: The Gathering}$ 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…

人工智能 · 计算机科学 2019-04-24 Alex Churchill , Stella Biderman , Austin Herrick

We consider games played on finite graphs, whose goal is to obtain a trace belonging to a given set of winning traces. We focus on those states from which Player 1 cannot force a win. We explore and compare several criteria for establishing…

计算机科学与博弈论 · 计算机科学 2008-11-12 Marco Faella

In this paper we study a cooperative card game called Hanabi from the viewpoint of algorithmic combinatorial game theory. In Hanabi, each card has one among $c$ colors and a number between $1$ and $n$. The aim is to make, for each color, a…

Deep Reinforcement Learning combined with Fictitious Play shows impressive results on many benchmark games, most of which are, however, single-stage. In contrast, real-world decision making problems may consist of multiple stages, where the…

机器学习 · 计算机科学 2023-03-08 Wei Xi , Yongxin Zhang , Changnan Xiao , Xuefeng Huang , Shihong Deng , Haowei Liang , Jie Chen , Peng Sun

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…

人工智能 · 计算机科学 2024-12-11 Ronaldo e Silva Vieira , Anderson Rocha Tavares , Luiz Chaimowicz

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.…

人工智能 · 计算机科学 2018-06-27 Zhengxing Chen , Chris Amato , Truong-Huy Nguyen , Seth Cooper , Yizhou Sun , Magy Seif El-Nasr

We analyse the computational complexity of finding Nash equilibria in turn-based stochastic multiplayer games with omega-regular objectives. We show that restricting the search space to equilibria whose payoffs fall into a certain interval…

计算机科学与博弈论 · 计算机科学 2015-07-01 Michael Ummels , Dominik Wojtczak

Games on recursive game graphs can be used to reason about the control flow of sequential programs with recursion. In games over recursive game graphs, the most natural notion of strategy is the modular strategy, i.e., a strategy that is…

计算机科学中的逻辑 · 计算机科学 2014-08-27 Ilaria De Crescenzo , Salvatore La Torre , Yaron Velner

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…

人工智能 · 计算机科学 2020-03-12 Stella Biderman

We analyse the computational complexity of finding Nash equilibria in simple stochastic multiplayer games. We show that restricting the search space to equilibria whose payoffs fall into a certain interval may lead to undecidability. In…

计算机科学与博弈论 · 计算机科学 2010-06-24 Michael Ummels , Dominik Wojtczak

We study the computational complexity of the popular board game backgammon. We show that deciding whether a player can win from a given board configuration is NP-Hard, PSPACE-Hard, and EXPTIME-Hard under different settings of known and…

计算复杂性 · 计算机科学 2021-12-15 R. Teal Witter

In this paper, we study the cooperative card game, The Crew: The Quest for Planet Nine from the viewpoint of algorithmic combinatorial game theory. The Crew: The Quest for Planet Nine, is a game based on traditional trick-taking card games,…

离散数学 · 计算机科学 2021-10-27 Frederick Reiber

Can a problem undecidable with classical resources be decidable with quantum ones? The answer expected is no; as both being Turing theories, they should not solve the Halting problem - a problem unsolvable by any Turing machine. Yet, we…

量子物理 · 物理学 2021-12-28 Airin Antony

Reachability games are two-player games played on a graph, where the objective of $\texttt{REACH}$ player is to reach the target set whereas the objective of $\texttt{SAFE}$ player is to stay away from the target set. Reachability games…

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…

机器学习 · 计算机科学 2018-10-10 Felipe Zilio , Marcelo Prates , Luis Lamb

We consider imperfect information stochastic games where we require the players to use pure (i.e. non randomised) strategies. We consider reachability, safety, B\"uchi and co-B\"uchi objectives, and investigate the existence of…

形式语言与自动机理论 · 计算机科学 2018-03-28 Arnaud Carayol , Christof Löding , Olivier Serre

In this paper, we address a natural question at the intersection of combinatorial game theory and computational complexity: "Can a sum of simple tepid games in canonical form be intractable?" To resolve this fundamental question, we…

计算复杂性 · 计算机科学 2024-03-11 Kyle Burke , Matthew Ferland , Svenja Huntemann , Shang-Hua Teng

Infinite games where several players seek to coordinate under imperfect information are deemed to be undecidable, unless the information is hierarchically ordered among the players. We identify a class of games for which joint winning…

计算机科学与博弈论 · 计算机科学 2015-07-29 Dietmar Berwanger , Anup Basil Mathew

We study the computational complexity of Nash equilibria in concurrent games with limit-average objectives. In particular, we prove that the existence of a Nash equilibrium in randomised strategies is undecidable, while the existence of a…

计算机科学与博弈论 · 计算机科学 2011-09-29 Michael Ummels , Dominik Wojtczak

We develop a generic computational model that can be used effectively for establishing the existence of winning strategies for concrete finite combinatorial games. Our modelling is (equational) logic-based involving advanced techniques from…

计算机科学中的逻辑 · 计算机科学 2025-12-12 Răzvan Diaconescu
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