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Main Authors: Romão, Leonardo Gasparini, de Paula, Samuel Plaça, Ueda, Eduardo Takeo
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.11683
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author Romão, Leonardo Gasparini
de Paula, Samuel Plaça
Ueda, Eduardo Takeo
author_facet Romão, Leonardo Gasparini
de Paula, Samuel Plaça
Ueda, Eduardo Takeo
contents Flesh and Blood (FAB) is a trading card game that two players need to make a strategy to reduce the life points of their opponent to zero. The mechanics of the game present complex decision-making scenarios of resource management. Due the similarity of other card games, the strategy of the game have scenarios that can turn an NP-problem. This paper presents a model of an aggressive, single-turn strategy as a combinatorial optimization problem, termed the FAB problem. Using mathematical modeling, we demonstrate its equivalence to a 0-1 Knapsack problem, establishing the FAB problem as NP-hard. Additionally, an Integer Linear Programming (ILP) formulation is proposed to tackle real-world instances of the problem. By establishing the computational hardness of optimizing even relatively simple strategies, our work highlights the combinatorial complexity of the game.
format Preprint
id arxiv_https___arxiv_org_abs_2501_11683
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimizing for aggressive-style strategies in Flesh and Blood is NP-hard
Romão, Leonardo Gasparini
de Paula, Samuel Plaça
Ueda, Eduardo Takeo
Computational Complexity
Flesh and Blood (FAB) is a trading card game that two players need to make a strategy to reduce the life points of their opponent to zero. The mechanics of the game present complex decision-making scenarios of resource management. Due the similarity of other card games, the strategy of the game have scenarios that can turn an NP-problem. This paper presents a model of an aggressive, single-turn strategy as a combinatorial optimization problem, termed the FAB problem. Using mathematical modeling, we demonstrate its equivalence to a 0-1 Knapsack problem, establishing the FAB problem as NP-hard. Additionally, an Integer Linear Programming (ILP) formulation is proposed to tackle real-world instances of the problem. By establishing the computational hardness of optimizing even relatively simple strategies, our work highlights the combinatorial complexity of the game.
title Optimizing for aggressive-style strategies in Flesh and Blood is NP-hard
topic Computational Complexity
url https://arxiv.org/abs/2501.11683